Eastern Bering Sea Walleye Pollock SPoRC Assessment

Bridge model using the SPoRC R package

1 Executive Summary

This document reports a preliminary Eastern Bering Sea walleye pollock bridge assessment implemented with the SPoRC R package (Cheng et al. 2026). The run uses the 2024 ADMB assessment data stream conditioned into SPoRC input objects, with a single-area, single-sex, age-structured configuration spanning 1964-2024 and 15 modeled ages.

The current SPoRC dev fit estimates 18,988 for spawning stock biomass, 68,827 for total biomass, 166,750 recruits, and a fishery fishing mortality of 0.043 in 2024 (Table 2). These quantities should be read as bridge-model results rather than management advice. The optimizer returned convergence code 1 with message “false convergence (8)”; the Hessian was not positive definite and the maximum absolute fixed-effect gradient was 1.92^{-4} (Table 3).

The bridge comparison with the saved 2024 ADMB result shows broad agreement in some time-series shapes, but important scale differences remain, especially for recruitment and fishing mortality (Figure 20, Table 6). This indicates that the current SPoRC setup is useful for repository development and diagnostics, but not yet a replacement for the accepted ADMB assessment.

2 Data

The SPoRC input file is generated by data-raw/build_ebs_pollock_data.R from the 2024 ADMB data file and saved as data/ebs_pollock.rds. The modeled data include catch, fishery CPUE, fishery age compositions, bottom trawl survey (BTS), acoustic trawl survey (ATS), aerial survey (AVO) indices, and survey age compositions where available. The survey time series are retained as separate information sources because earlier EBS pollock assessment work has shown that multiple surveys can carry distinct signals about abundance, composition, and distribution (O’Leary et al. 2020). Data availability by source is summarized in Table 1 and shown by year in Figure 1.

gt(data_summary) |>
  cols_label(
    data_series = "Data series",
    n_years_used = "Years used",
    years = "Year range"
  )

Table 1: Summary of data series included in the SPoRC input object.

Data series	Years used	Year range
Catch Fishery	61	1964-2024
Fishery age composition Fishery	60	1964-2023
Fishery index Fishery CPUE	12	1965-1976
Survey age composition ATS	19	1994-2024
Survey age composition BTS	42	1982-2024
Survey index ATS	19	1994-2024
Survey index AVO	18	2006-2024
Survey index BTS	42	1982-2024

ggplot(data_availability_df, aes(x = year, y = series)) +
  geom_point(aes(fill = type), shape = 21, size = 2.6, color = "grey20", alpha = 0.9) +
  labs(x = "Year", y = NULL, fill = "Data type") +
  ggthemes::theme_few()

Figure 1: Data availability used in the SPoRC dev model.

3 Model Configuration

The dev model is configured in config/base.yml and fitted by analysis/run_scenarios.R. The model uses one region, one sex, one fishery fleet, and three survey fleets, following the single-region EBS pollock SPoRC case-study configuration (Cheng 2026). Recruitment is modeled with a Beverton-Holt stock-recruit relationship, with fixed steepness and fixed recruitment standard deviations. Initial age-composition deviations are estimated for ages 2 and older and are not penalized as equilibrium recruitment deviations in the current configuration. In this setup, equil_init_age_strc = 0 means the starting age structure is estimated more freely through ln_InitDevs, while equil_init_age_strc = 2 retains the vignette-style geometric/equilibrium initialization and associated initial recruitment penalty. SPoRC’s one-sex spawning biomass calculation applies a 0.5 multiplier internally, so the reported Aggregated_SSB is already on a female spawning-biomass basis for comparison with the ADMB assessment. Natural mortality is fixed at age-specific values, catch uncertainty is fixed, and the current dev configuration estimates penalized time-varying fishery and survey selectivity. Fishery selectivity uses a dome-shaped dbnrml fixed selectivity curve with 2dar1 deviations, correlations fixed at zero, and deviations mapped from 1964 onward; the process-error standard deviation is fixed at 0.30 to allow more interannual variability. BTS survey selectivity uses iid deviations with the underlying logistic age-50 fixed near age 3, and ATS/AVO survey selectivity uses 2dar1 deviations with fleet 3 sharing fleet 2 selectivity parameters. Selectivity is an important bridge-model diagnostic because alternative state-space and time-varying selectivity treatments can materially change catch-at-age assessment behavior (Nielsen and Berg 2014; Nielsen et al. 2021).

Biological inputs used in the terminal model year are shown in Figure 2. The natural mortality curve follows the fixed age-specific values in the configuration, while maturity and spawning weight at age are taken from the conditioned pollock input data.

ggplot(bio_df, aes(x = age, y = value)) +
  geom_line(linewidth = 0.8, color = "#1b6ca8") +
  geom_point(size = 1.8, color = "#1b6ca8") +
  facet_wrap(~ quantity, scales = "free_y", ncol = 1) +
  labs(x = "Age", y = "Value") +
  ggthemes::theme_few()

Figure 2: Terminal-year biological inputs and natural mortality used in the SPoRC dev model.

The estimated terminal-year selectivity patterns are shown in Figure 3. The fitted selectivity trajectories are shown as ridge plots for the fishery, BTS, and ATS in Figure 4, Figure 5, and Figure 6, following the assessment plotting approach in plot-sel.R. Each fleet-year curve is normalized to its maximum value before plotting so the figures emphasize changes in the age pattern of vulnerability through time.

ggplot(selectivity_df, aes(x = age, y = value, color = fleet_name)) +
  geom_line(linewidth = 0.9) +
  facet_wrap(~ fleet_type, scales = "free_y", ncol = 1) +
  labs(x = "Age", y = "Selectivity", color = "Fleet") +
  ggthemes::theme_few()

Figure 3: Terminal-year fishery and survey selectivity from the SPoRC dev model.

plot_selectivity_ridges("Fishery", fill = "#7b3294", compare_models = TRUE)

Figure 4: Relative fishery selectivity over time from the SPoRC dev and vign models. Ridgeline heights are normalized within each model and year.

plot_selectivity_ridges("BTS", fill = "#1b6ca8")

Figure 5: Relative BTS selectivity over time from the SPoRC dev model. Ridgeline heights are normalized within each year.

plot_selectivity_ridges("ATS", fill = "#4daf4a")

Figure 6: Relative ATS selectivity over time from the SPoRC dev model. Ridgeline heights are normalized within each year.

4 Results

The dev run estimates increasing spawning biomass over the terminal portion of the time series and a strong terminal recruitment estimate (Figure 7). In 2024, estimated SSB is 18,988, total biomass is 68,827, and recruitment is 166,750 (Table 2).

current_estimates <- latest_ts[, c("quantity", "value")]
gt(current_estimates) |>
  fmt_number(columns = value, decimals = 3) |>
  cols_label(quantity = "Quantity", value = paste("Estimate in", assessment_year))

Table 2: Terminal-year estimates from the SPoRC dev model.

Quantity	Estimate in 2024
F	0.043
SSB	18,987.567
Total_Biom	68,826.798
Recruit	166,750.391

ggplot(sporc_ts, aes(x = year, y = value)) +
  geom_line(linewidth = 0.8, color = "#1b6ca8") +
  facet_wrap(~ quantity, scales = "free_y", ncol = 2) +
  labs(x = "Year", y = "Value") +
  ggthemes::theme_few()

Figure 7: SPoRC dev model time series for fishing mortality, spawning biomass, total biomass, and recruitment.

ggplot() +
  geom_line(
    data = srr_curve,
    aes(x = ssb, y = recruitment),
    linewidth = 0.9,
    color = "#1b6ca8"
  ) +
  geom_text(
    data = srr_points,
    aes(x = ssb, y = recruitment, label = year),
    size = 2.4,
    vjust = -0.45,
    check_overlap = TRUE
  ) +
  labs(x = "Spawning biomass", y = "Recruitment") +
  ggthemes::theme_few()

Figure 8: Stock-recruit relationship from the SPoRC dev model. The line is the Beverton-Holt curve using fixed steepness, estimated R0, and the median dynamic unfished spawning biomass; labels show annual model estimates by year.

The catch fit reproduces the observed catch series closely in most years by construction of the catch likelihood and associated fixed catch uncertainty (Figure 9). Index fits show larger departures for some survey and CPUE observations, which is expected at this bridge stage because the model configuration has not yet been tuned to reproduce the accepted ADMB assessment (Figure 10).

ggplot(catch_df, aes(x = year)) +
  geom_line(aes(y = fitted), linewidth = 0.8, color = "#1b6ca8") +
  geom_point(aes(y = observed), size = 1.8, color = "grey15") +
  facet_wrap(~ fleet_name, scales = "free_y") +
  labs(x = "Year", y = "Catch") +
  ggthemes::theme_few()

Figure 9: Observed and fitted catch for the SPoRC dev model. Points are observations and the line is fitted catch.

ggplot(index_df, aes(x = year)) +
  geom_line(aes(y = value), linewidth = 0.8, color = "#1b6ca8") +
  geom_point(
    data = index_df[is.finite(index_df$observed), ],
    aes(y = observed),
    size = 1.8,
    color = "grey15"
  ) +
  facet_wrap(~ fleet_name, scales = "free_y", ncol = 2) +
  labs(x = "Year", y = "Index") +
  ggthemes::theme_few()

Figure 10: Observed and fitted fishery and survey indices for the SPoRC dev model. Points are observations and lines are fitted values.

Age-composition fits are shown as predicted proportions at age with observed proportions overlaid for years included in the likelihood. The fishery composition fit is shown in Figure 11, and the survey composition fits are shown separately for BTS and ATS in Figure 12 and Figure 13. The AVO survey does not contribute an age-composition series in the current conditioned input object. Following the assessment diagnostic workflow in plot_osa_comps.R, the composition fits are also summarized with residual bubble plots, normal QQ plots, and aggregate observed-versus-expected fits for the Fishery, BTS, and ATS series (Figure 14, Figure 15, Figure 16, Figure 17, and Figure 18). Age 1 is excluded from the BTS and ATS residual diagnostics because it is not used in those survey composition likelihoods. The residual diagnostic method used in this render is Pearson residual fallback.

ggplot(fish_agecomp_df, aes(x = age, y = predicted)) +
  geom_line(linewidth = 0.5, color = "#4daf4a") +
  geom_point(aes(y = observed), color = "#1f78b4", size = 0.9, alpha = 0.8) +
  facet_wrap(~ year, ncol = 5, dir = "v") +
  scale_y_continuous(limits = c(0, NA)) +
  labs(x = "Age", y = "Proportion") +
  ggthemes::theme_few()

Figure 11: Observed and predicted fishery age-composition patterns for years included in the SPoRC likelihood.

ggplot(srv_agecomp_df[srv_agecomp_df$fleet_name == "BTS", ], aes(x = age, y = predicted)) +
  geom_line(linewidth = 0.5, color = "#4daf4a") +
  geom_point(aes(y = observed), color = "#1f78b4", size = 0.9, alpha = 0.8) +
  facet_wrap(~ year, ncol = 4, dir = "v") +
  scale_y_continuous(limits = c(0, NA)) +
  labs(x = "Age", y = "Proportion") +
  ggthemes::theme_few()

Figure 12: Observed and predicted BTS age-composition patterns for years included in the SPoRC likelihood.

ggplot(srv_agecomp_df[srv_agecomp_df$fleet_name == "ATS", ], aes(x = age, y = predicted)) +
  geom_line(linewidth = 0.5, color = "#4daf4a") +
  geom_point(aes(y = observed), color = "#1f78b4", size = 0.9, alpha = 0.8) +
  facet_wrap(~ year, ncol = 3, dir = "v") +
  scale_y_continuous(limits = c(0, NA)) +
  labs(x = "Age", y = "Proportion") +
  ggthemes::theme_few()

Figure 13: Observed and predicted ATS age-composition patterns for years included in the SPoRC likelihood.

plot_composition_residual_bubbles("Fishery")

Figure 14: Composition residual bubble diagnostics for the Fishery age-composition fit. Circle size is proportional to the absolute residual; triangles identify absolute residuals greater than 3.

plot_composition_residual_bubbles("BTS")

Figure 15: Composition residual bubble diagnostics for the BTS age-composition fit. Circle size is proportional to the absolute residual; triangles identify absolute residuals greater than 3.

plot_composition_residual_bubbles("ATS")

Figure 16: Composition residual bubble diagnostics for the ATS age-composition fit. Circle size is proportional to the absolute residual; triangles identify absolute residuals greater than 3.

ggplot(composition_residual_df, aes(sample = resid)) +
  stat_qq(color = "#1f78b4", size = 1.2, alpha = 0.75) +
  stat_qq_line(color = "grey35", linewidth = 0.6) +
  geom_text(
    data = composition_sdnr_df,
    aes(x = -Inf, y = Inf, label = label),
    inherit.aes = FALSE,
    hjust = -0.1,
    vjust = 1.4,
    size = 3.2
  ) +
  facet_wrap(~ fleet, nrow = 1) +
  labs(x = "Theoretical quantiles", y = "Sample quantiles") +
  ggthemes::theme_few()

Figure 17: Normal QQ diagnostics for the Fishery, BTS, and ATS composition residuals. Labels show the standard deviation of normalized residuals.

plot_aggregate_composition_fits()

Figure 18: Aggregate observed and expected age-composition fits for Fishery, BTS, and ATS. Bars are aggregate observed proportions and lines are aggregate expected proportions.

5 Diagnostics

The optimization diagnostics are mixed. The maximum absolute gradient is small, but the optimizer reports singular convergence and the Hessian status should be reviewed directly in Table 3. This is a clear flag that the dev fit should be treated as provisional until additional parameter mapping, starting values, bounds, and likelihood settings are reviewed.

convergence_summary <- data.frame(
  model = sporc_model_name,
  objective = base_fit$optim$objective,
  convergence_code = base_fit$optim$convergence,
  convergence_message = base_fit$optim$message,
  pd_hessian = isTRUE(base_fit$sdrep$pdHess),
  max_abs_gradient = max(abs(base_fit$sdrep$gradient.fixed), na.rm = TRUE)
)

gt(convergence_summary) |>
  fmt_number(columns = c(objective, max_abs_gradient), decimals = 4) |>
  cols_label(
    model = "Model",
    objective = "Objective",
    convergence_code = "Convergence code",
    convergence_message = "Message",
    pd_hessian = "Positive-definite Hessian",
    max_abs_gradient = "Max. absolute gradient"
  )

Table 3: SPoRC dev model convergence diagnostics.

Model	Objective	Convergence code	Message	Positive-definite Hessian	Max. absolute gradient
dev	1,779.1095	1	false convergence (8)	FALSE	0.0002

Catchability parameters are estimated freely in the current configuration and do not have q priors (Table 4). The very large standard errors for fishery CPUE, BTS, and ATS catchability indicate weak scale identification for those index catchabilities in this provisional bridge fit. This is consistent with the false-convergence optimizer message and should be reviewed against the intended SPoRC case-study specification before using the q estimates interpretively.

gt(catchability_diagnostics) |>
  fmt_number(columns = c(Estimate, `Std. Error`), decimals = 4) |>
  cols_label(
    fleet = "Fleet",
    parameter = "Parameter",
    instance = "Instance",
    Estimate = "Estimate",
    `Std. Error` = "Standard error",
    q_specification = "q specification",
    q_prior = "q prior"
  )

Table 4: Catchability estimates, standard errors, and current q specification in the SPoRC dev model.

Fleet	Parameter	Instance	Estimate	Standard error	q specification	q prior
Fishery CPUE	ln_fish_q	1	0.2388	NaN	est_all	none
BTS	ln_srv_q	1	−1.5015	NaN	est_all	none

Likelihood contributions are dominated by the configured composition and recruitment components. The current development case is labeled dev; the earlier SPoRC vignette-style case is labeled vign when analysis/outputs/vign.rds is available. The component totals are shown with models in columns in Table 5, and the relative contribution of each component is shown in Figure 19. These values are useful for debugging model weighting and for identifying which data sources are controlling the current fit. The vign case has a nonzero initial recruitment penalty because it keeps the vignette initialization setting equil_init_age_strc = 2; the dev case frees the initial age-composition deviations and sets equil_init_age_strc = 0, so Init_Rec_nLL is zero.

Table 5: Negative log-likelihood components by model case.

Component	dev	vign
Joint objective	1,779	526
Fishery age composition	396	1,153
Survey age composition	876	846
Survey index	436	−77
Recruitment	86	111
Fishery index	93	−4
Fishing mortality penalty	88	74
Initial recruitment	0	38
Catch	−66	−61
Selectivity penalty	−130	−1,553

ggplot(nll_df, aes(x = component, y = value, fill = model)) +
  geom_col(position = "dodge", width = 0.7) +
  coord_flip() +
  labs(x = NULL, y = "Negative log-likelihood", fill = "Model") +
  ggthemes::scale_fill_colorblind() +
  ggthemes::theme_few()

Figure 19: Negative log-likelihood components by SPoRC model case.

6 Bridge Comparison With ADMB

The bridge comparison uses /Users/jim/_mymods/pollock/results/derived/admb_2024.rds as the ADMB reference object. The comparison is limited to shared annual quantities: fishing mortality, spawning biomass, and recruitment. The maximum absolute relative differences are shown in Table 6, and the time series are plotted in Figure 20.

if (nrow(comparison_summary) > 0) {
  gt(comparison_summary) |>
    fmt_number(columns = max_abs_relative_difference, decimals = 4) |>
    cols_label(
      quantity = "Quantity",
      max_abs_relative_difference = "Max. absolute relative difference"
    )
} else {
  gt(data.frame(note = "ADMB comparison object was not available."))
}

Table 6: Maximum absolute relative difference between the SPoRC dev model and the 2024 ADMB reference object.

Quantity	Max. absolute relative difference
F	1.9808
Recruit	8.1190
SSB	5.9496

if (!is.null(bridge_ts)) {
  ggplot(bridge_ts, aes(x = year, y = value, color = model)) +
    geom_line(linewidth = 0.8) +
    facet_wrap(~ quantity, scales = "free_y", ncol = 1) +
    labs(x = "Year", y = "Value", color = "Model") +
    ggthemes::theme_few()
}

Figure 20: Shared SPoRC and ADMB time series for the dev-model bridge comparison.

The current bridge run does not yet reproduce the ADMB model closely enough for operational use. The largest differences occur in recruitment and fishing mortality, and those differences are large enough to affect interpretation of terminal stock status and future harvest advice. The next development step is to inspect the mapping of recruitment deviations, selectivity forms, catch likelihood treatment, index scaling, and composition likelihood settings against the ADMB model.

7 Reproducibility

The assessment artifacts used by this document are:

• SPoRC data object: data/ebs_pollock.rds
• SPoRC dev model: analysis/outputs/base.rds
• SPoRC vignette-style model: analysis/outputs/vign.rds, regenerated by analysis/run_vignette_case.R
• SPoRC configuration: config/base.yml
• ADMB bridge object: /Users/jim/_mymods/pollock/results/derived/admb_2024.rds
• Five-year retrospective object: analysis/outputs/retro_5_peel.rds
• SparseNUTS diagnostic MCMC object: analysis/outputs/sparsenuts/sporc_sparsenuts_default.rds

This document can be rendered from the repository root with:

quarto render reporting/EBS_wp_sporc.qmd --to html

References

Cheng, Matthew. 2026. Setting up a Single Region Model (Eastern Bering Sea Pollock). SPoRC vignette. https://chengmatt.github.io/SPoRC/articles/f_single_region_ebs_pollock_case_study.html.

Cheng, Matthew, Dan Goethel, Pete Hulson, and Curry Cunningham. 2026. SPoRC: A Generalized Stochastic Population Model over Regional Components. https://chengmatt.github.io/SPoRC/.

Nielsen, Anders, and Casper W. Berg. 2014. “Estimation of Time-Varying Selectivity in Stock Assessments Using State-Space Models.” Fisheries Research 158: 96–101. https://doi.org/10.1016/j.fishres.2014.01.014.

Nielsen, Anders, Niels T Hintzen, Henrik Mosegaard, Vanessa Trijoulet, and Casper W Berg. 2021. “Multi-Fleet State-Space Assessment Model Strengthens Confidence in Single-Fleet SAM and Provides Fleet-Specific Forecast Options.” ICES Journal of Marine Science 78 (6): 2043–52. https://doi.org/10.1093/icesjms/fsab078.

O’Leary, C. A., J. T. Thorson, J. N. Ianelli, and S. Kotwicki. 2020. “Adapting to Climate‐driven Distribution Shifts Using Model‐based Indices and Age Composition from Multiple Surveys in the Walleye Pollock (Gadus Chalcogrammus) Stock Assessment.” Fisheries Oceanography 29 (6): 541–57. https://doi.org/10.1111/fog.12494.

8 Appendix

8.1 SparseNUTS MCMC

The SPoRC dev model is RTMB-based, so the fitted objective can be passed directly to SparseNUTS. Following the Rceattle assessment workflow, I ran SparseNUTS::sample_snuts() outside the Quarto render using the package defaults for chains, samples, warmup selection, metric selection, initial values, and control settings, with cores = 1 for serial RTMB execution. The sampler output and diagnostic figures are saved as assessment artifacts.

This output is a computational diagnostic rather than accepted posterior inference. The default run reported divergent transitions and () and effective sample size diagnostics indicate non-convergence for catchability parameters, so these posterior summaries should not be used for management interpretation without a longer and retuned MCMC run.

if (file.exists(sparsenuts_path)) {
  sparsenuts <- readRDS(sparsenuts_path)
  snuts <- sparsenuts$snuts_fit
  snuts_diag <- sparsenuts$diagnostics
  settings <- sparsenuts$sampler_settings
  postwarmup_per_chain <- dim(snuts$samples)[1] - snuts$warmup
  total_postwarmup <- postwarmup_per_chain * dim(snuts$samples)[2]
  max_rhat <- max(snuts$monitor$rhat, na.rm = TRUE)
  min_ess <- min(snuts$monitor$ess_bulk, na.rm = TRUE)
  worst_rhat <- snuts$monitor$variable[which.max(snuts$monitor$rhat)]
  worst_ess <- snuts$monitor$variable[which.min(snuts$monitor$ess_bulk)]
  divergent_transitions <- round(snuts_diag$perc_divergent / 100 * total_postwarmup)

  snuts_status <- data.frame(
    metric = c(
      "Algorithm",
      "Metric",
      "Chains",
      "Warmup iterations per chain",
      "Post-warmup samples per chain",
      "Total post-warmup draws",
      "Minimum bulk ESS",
      "Minimum bulk ESS parameter",
      "Maximum Rhat",
      "Maximum Rhat parameter",
      "Divergent transitions",
      "Percent divergent",
      "Interpretation"
    ),
    value = c(
      snuts$algorithm,
      snuts$metric,
      dim(snuts$samples)[2],
      snuts$warmup,
      postwarmup_per_chain,
      total_postwarmup,
      sprintf("%.1f", min_ess),
      worst_ess,
      sprintf("%.3f", max_rhat),
      worst_rhat,
      divergent_transitions,
      sprintf("%.2f%%", snuts_diag$perc_divergent),
      ifelse(
        snuts_diag$perc_divergent == 0 && max_rhat < 1.01,
        "No obvious warning by divergence and Rhat checks.",
        "Diagnostic only; do not use for inference without retuning."
      )
    )
  )

  gt(snuts_status) |>
    cols_label(metric = "Metric", value = "Value") |>
    tab_header(title = "SparseNUTS Diagnostic Run")
} else {
  gt(data.frame(note = "SparseNUTS output not available. Run analysis/run_sporc_sparsenuts.R."))
}

Table 7: SparseNUTS diagnostic-run summary for the SPoRC dev model.

SparseNUTS Diagnostic Run
Metric	Value
Algorithm	SNUTS
Metric	dense
Chains	4
Warmup iterations per chain	150
Post-warmup samples per chain	1000
Total post-warmup draws	4000
Minimum bulk ESS	6.3
Minimum bulk ESS parameter	ln_srv_q[1]
Maximum Rhat	1.694
Maximum Rhat parameter	ln_srv_q[1]
Divergent transitions	8
Percent divergent	0.20%
Interpretation	Diagnostic only; do not use for inference without retuning.

fig <- file.path(sparsenuts_fig_dir, "sporc_sparsenuts_pairs.png")
if (file.exists(fig)) knitr::include_graphics(fig)

Figure 21: SparseNUTS pairs plot for the six SPoRC parameters with the largest Rhat values.

fig <- file.path(sparsenuts_fig_dir, "sporc_sparsenuts_marginals.png")
if (file.exists(fig)) knitr::include_graphics(fig)

Figure 22: SparseNUTS marginal posterior intervals for the twelve SPoRC parameters with the largest Rhat values.

fig <- file.path(sparsenuts_fig_dir, "sporc_sparsenuts_trace.png")
if (file.exists(fig)) knitr::include_graphics(fig)

Figure 23: SparseNUTS trace plots for the six SPoRC parameters with the largest Rhat values.

fig <- file.path(sparsenuts_fig_dir, "sporc_sparsenuts_sampler_params.png")
if (file.exists(fig)) knitr::include_graphics(fig)

Figure 24: SparseNUTS sampler-parameter diagnostics for the SPoRC diagnostic run.

fig <- file.path(sparsenuts_fig_dir, "sporc_sparsenuts_native_marginals.png")
if (file.exists(fig)) knitr::include_graphics(fig)

Figure 25: SparseNUTS::plot_marginals output for the SPoRC diagnostic run.

fig <- file.path(sparsenuts_fig_dir, "sporc_sparsenuts_Q.png")
if (file.exists(fig)) knitr::include_graphics(fig)

Figure 26: SparseNUTS::plot_Q output for the SPoRC diagnostic run.

fig <- file.path(sparsenuts_fig_dir, "sporc_sparsenuts_uncertainties.png")
if (file.exists(fig)) knitr::include_graphics(fig)

Figure 27: SparseNUTS::plot_uncertainties output for the SPoRC diagnostic run.

8.2 Retrospective Analysis

A five-year retrospective was run by peeling terminal years from the conditioned SPoRC input data and refitting the same dev configuration. The resulting spawning biomass and recruitment trajectories are shown in Figure 28, with relative differences from the full fit in Figure 29. Mohn’s rho values are calculated from terminal-year relative differences across the five peels and reported in Table 8.

if (!is.null(retro_df)) {
  ggplot(retro_df, aes(x = year, y = value, color = peel_label, group = peel_label)) +
    geom_line(linewidth = 0.8) +
    facet_wrap(~ quantity, scales = "free_y", ncol = 1) +
    labs(x = "Year", y = "Value", color = "Retrospective peel") +
    ggthemes::theme_few()
}

Figure 28: Five-year retrospective trajectories for spawning biomass and recruitment from the SPoRC dev model.

if (!is.null(retro_rel)) {
  ggplot(retro_rel, aes(x = year, y = relative_difference, color = peel_label, group = peel_label)) +
    geom_hline(yintercept = 0, linetype = "dashed", color = "grey45") +
    geom_line(linewidth = 0.8) +
    geom_point(data = retro_terminal, size = 2) +
    facet_wrap(~ quantity, scales = "free_y", ncol = 1) +
    labs(x = "Year", y = "Relative difference from full fit", color = "Retrospective peel") +
    ggthemes::theme_few()
}

Figure 29: Relative differences between each retrospective peel and the full SPoRC dev fit. Points identify the terminal year of each peel.

if (nrow(retro_rho) > 0) {
  gt(retro_rho) |>
    fmt_number(columns = mohns_rho, decimals = 3) |>
    cols_label(
      quantity = "Quantity",
      region = "Region",
      mohns_rho = "Mohn's rho"
    )
} else {
  gt(data.frame(note = "The five-year retrospective output was not available."))
}

Table 8: Mohn’s rho for the five-year SPoRC retrospective analysis.

Quantity	Region	Mohn's rho
Recruitment	1	−0.221
Spawning biomass	1	−0.235

8.3 Model Configurations

The dev model configuration is read from config/base.yml. The vign column summarizes the specification reproduced by analysis/run_vignette_case.R from the SPoRC single-region EBS pollock vignette. The flattened and summarized settings in Table 9 document the model configurations used by the rendered assessment.

gt(config_table_wide) |>
  sub_missing(columns = c(dev, vign), missing_text = "") |>
  cols_label(
    section = "Section",
    setting = "Setting",
    dev = "dev",
    vign = "vign"
  )

Table 9: SPoRC dev and vign model configuration settings.

Section	Setting	dev	vign
biology	biology.fit_lengths	0
biology	biology.fixed_M.age1	0.9
biology	biology.fixed_M.age2	0.45
biology	biology.fixed_M.age3plus	0.3
biology	biology.M_spec	fix
biology	biology.M_spec.fixed_M		fix, age1 = 0.9, age2 = 0.45, age3plus = 0.3
catch	catch.sigmaC	0.05
catch	catch.sigmaC_spec	fix
catch	catch.sigmaC_spec.sigmaC		fix, 0.05
catch	catch.Use_F_pen	1
data	data.object		SPoRC::sgl_rg_ebswp_data
dimensions	dimensions.n_fish_fleets	1
dimensions	dimensions.n_regions	1
dimensions	dimensions.n_regions.n_sexes.n_fish_fleets.n_srv_fleets		1, 1, 1, 3
dimensions	dimensions.n_sexes	1
dimensions	dimensions.n_srv_fleets	3
fishery	fishery.fish_idx_type	biom
fishery	fishery.FishAgeComps_LikeType	Multinomial
fishery	fishery.FishAgeComps_Type	agg_Year_1-terminal_Fleet_1
fishery	fishery.FishLenComps_LikeType	none
fishery	fishery.FishLenComps_Type	none_Year_1-terminal_Fleet_1
fishery_selectivity	fishery_selectivity.fish_fixed_sel_pars_spec	est_all
fishery_selectivity	fishery_selectivity.fish_fixed_sel_pars_start	-0.9163, -1.385, 1.6094, 1.9459, -2.9444, -0.4055
fishery_selectivity	fishery_selectivity.fish_q_blocks	none_Fleet_1
fishery_selectivity	fishery_selectivity.fish_q_spec	est_all	est_all
fishery_selectivity	fishery_selectivity.fish_sel_blocks	none_Fleet_1
fishery_selectivity	fishery_selectivity.fish_sel_model	dbnrml_Fleet_1	logist1_Fleet_1
fishery_selectivity	fishery_selectivity.fishsel_pe_pars_log_sigma		0.075
fit	fit.base_only	TRUE
fit	fit.newton_loops	3
fit	fit.newton_loops.random		3, NULL
fit	fit.silent	FALSE
movement	movement.do_recruits_move	0
movement	movement.Fixed_Movement
movement	movement.use_fixed_movement	1
paths	paths.admb_results_rds	/Users/jim/_mymods/pollock/results/derived/admb_2024.rds
paths	paths.admb_source_root	/Users/jim/_mymods/pollock/admb
paths	paths.comparison_dir	analysis/comparisons
paths	paths.data_rds	data/ebs_pollock.rds
paths	paths.outputs_dir	analysis/outputs
recruitment	recruitment.do_rec_bias_ramp	0
recruitment	recruitment.equil_init_age_strc	2
recruitment	recruitment.free_init_age_composition	TRUE
recruitment	recruitment.h_spec	fix
recruitment	recruitment.init_age_strc	1
recruitment	recruitment.init_age_strc.equil_init_age_strc		1, 2
recruitment	recruitment.ln_global_R0	10
recruitment	recruitment.ln_sigmaR	0, 0
recruitment	recruitment.rec_model	bh_rec	bh_rec
recruitment	recruitment.sigmaR_spec	fix
recruitment	recruitment.sigmaR_switch	1
recruitment	recruitment.steepness_h	0.623013
recruitment	recruitment.steepness_h.sigmaR_spec		0.623013, fix
recruitment	recruitment.steepness_is_h	TRUE
recruitment	recruitment.t_spawn	0.25
selectivity_random_effects	selectivity_random_effects.cont_tv_fish_sel	2dar1_Fleet_1	2dar1_Fleet_1
selectivity_random_effects	selectivity_random_effects.cont_tv_srv_sel	iid_Fleet_1, 2dar1_Fleet_2, 2dar1_Fleet_3	iid_Fleet_1, 2dar1_Fleet_2, 2dar1_Fleet_3
selectivity_random_effects	selectivity_random_effects.corr_opt_fish_semipar	corr_zero_y_b
selectivity_random_effects	selectivity_random_effects.fish_sel_devs_spec	est_all
selectivity_random_effects	selectivity_random_effects.fishsel_pe_pars_log_sigma	0.3
selectivity_random_effects	selectivity_random_effects.fishsel_pe_pars_spec	fix
selectivity_random_effects	selectivity_random_effects.random_effects
selectivity_random_effects	selectivity_random_effects.srv_sel_devs_spec	est_all, est_all, est_shared_f_2
selectivity_random_effects	selectivity_random_effects.srvsel_ats_avo_log_sigma	0.15
selectivity_random_effects	selectivity_random_effects.srvsel_bts_logistic_log_sigma	0.075
selectivity_random_effects	selectivity_random_effects.srvsel_pe_pars_spec	fix, fix, fix
source	source.url		https://chengmatt.github.io/SPoRC/articles/f_single_region_ebs_pollock_case_study.html
sporc	sporc.ref	main
survey	survey.srv_fixed_sel_pars_spec	fix, est_all, est_shared_f_2
survey	survey.srv_fixed_sel_pars_start.BTS	3, 1
survey	survey.srv_idx_type	biom, biom, biom
survey	survey.srv_q_blocks	none_Fleet_1, none_Fleet_2, none_Fleet_3
survey	survey.srv_q_spec	est_all, est_all, est_all	est_all, est_all, est_all
survey	survey.srv_sel_blocks	none_Fleet_1, none_Fleet_2, none_Fleet_3
survey	survey.srv_sel_model	logist1_Fleet_1, logist1_Fleet_2, logist1_Fleet_3	logist1_Fleet_1, logist1_Fleet_2, logist1_Fleet_3
survey	survey.SrvAgeComps_LikeType	Multinomial, Multinomial, none
survey	survey.SrvAgeComps_Type	agg_Year_1-terminal_Fleet_1, agg_Year_1-terminal_Fleet_2, none_Year_1-terminal_Fleet_3
survey	survey.SrvLenComps_LikeType	none, none, none
survey	survey.SrvLenComps_Type	none_Year_1-terminal_Fleet_1, none_Year_1-terminal_Fleet_2, none_Year_1-terminal_Fleet_3
tagging	tagging.UseTagging	0
weights	weights.Wt_Catch	1
weights	weights.Wt_F	1
weights	weights.Wt_FishAgeComps	1
weights	weights.Wt_FishIdx	1
weights	weights.Wt_FishLenComps	1
weights	weights.Wt_Rec	1
weights	weights.Wt_SrvAgeComps	1
weights	weights.Wt_SrvIdx	1
weights	weights.Wt_SrvLenComps	1
weights	weights.Wt_Tagging	0

8.4 Input Sample Sizes

The age-composition sample sizes used in the multinomial likelihood calculations are year-specific and are read directly from the conditioned SPoRC input object. The values in Table 10 are the input sample sizes used for fishery, BTS, and ATS age-composition likelihoods.

gt(composition_sample_sizes, groupname_col = "fleet") |>
  fmt_number(columns = input_sample_size, decimals = 2) |>
  cols_label(
    likelihood = "Likelihood",
    year = "Year",
    input_sample_size = "Input sample size"
  )

Table 10: Input sample sizes used for multinomial age-composition likelihood calculations by fleet and year.

Likelihood	Year	Input sample size
Fishery
Multinomial	1964	10.00
Multinomial	1965	10.00
Multinomial	1966	10.00
Multinomial	1967	10.00
Multinomial	1968	10.00
Multinomial	1969	10.00
Multinomial	1970	10.00
Multinomial	1971	10.00
Multinomial	1972	10.00
Multinomial	1973	10.00
Multinomial	1974	10.00
Multinomial	1975	10.00
Multinomial	1976	10.00
Multinomial	1977	10.00
Multinomial	1978	39.00
Multinomial	1979	39.00
Multinomial	1980	39.00
Multinomial	1981	39.00
Multinomial	1982	39.00
Multinomial	1983	39.00
Multinomial	1984	39.00
Multinomial	1985	39.00
Multinomial	1986	39.00
Multinomial	1987	39.00
Multinomial	1988	39.00
Multinomial	1989	39.00
Multinomial	1990	39.00
Multinomial	1991	260.30
Multinomial	1992	228.05
Multinomial	1993	344.45
Multinomial	1994	286.36
Multinomial	1995	256.95
Multinomial	1996	189.08
Multinomial	1997	318.68
Multinomial	1998	354.57
Multinomial	1999	476.14
Multinomial	2000	482.43
Multinomial	2001	328.17
Multinomial	2002	486.56
Multinomial	2003	440.91
Multinomial	2004	390.52
Multinomial	2005	494.38
Multinomial	2006	506.21
Multinomial	2007	500.22
Multinomial	2008	523.65
Multinomial	2009	420.03
Multinomial	2010	549.41
Multinomial	2011	728.07
Multinomial	2012	607.46
Multinomial	2013	753.27
Multinomial	2014	606.34
Multinomial	2015	821.23
Multinomial	2016	704.11
Multinomial	2017	606.72
Multinomial	2018	667.84
Multinomial	2019	700.80
Multinomial	2020	565.24
Multinomial	2021	817.58
Multinomial	2022	641.24
Multinomial	2023	443.04
BTS
Multinomial	1982	162.04
Multinomial	1983	130.70
Multinomial	1984	63.27
Multinomial	1985	73.54
Multinomial	1986	151.95
Multinomial	1987	61.21
Multinomial	1988	82.23
Multinomial	1989	53.19
Multinomial	1990	48.27
Multinomial	1991	79.42
Multinomial	1992	85.22
Multinomial	1993	91.98
Multinomial	1994	86.85
Multinomial	1995	104.90
Multinomial	1996	226.47
Multinomial	1997	73.38
Multinomial	1998	65.19
Multinomial	1999	95.43
Multinomial	2000	90.69
Multinomial	2001	183.01
Multinomial	2002	186.33
Multinomial	2003	125.66
Multinomial	2004	188.66
Multinomial	2005	194.49
Multinomial	2006	329.61
Multinomial	2007	192.70
Multinomial	2008	235.41
Multinomial	2009	144.72
Multinomial	2010	107.89
Multinomial	2011	165.27
Multinomial	2012	107.12
Multinomial	2013	66.53
Multinomial	2014	117.66
Multinomial	2015	103.67
Multinomial	2016	122.84
Multinomial	2017	234.59
Multinomial	2018	158.32
Multinomial	2019	120.68
Multinomial	2021	149.48
Multinomial	2022	172.83
Multinomial	2023	126.78
Multinomial	2024	64.21
ATS
Multinomial	1994	43.00
Multinomial	1996	32.00
Multinomial	1997	49.00
Multinomial	1999	67.00
Multinomial	2000	70.00
Multinomial	2002	72.00
Multinomial	2004	51.00
Multinomial	2006	47.00
Multinomial	2007	39.00
Multinomial	2008	35.00
Multinomial	2009	26.00
Multinomial	2010	34.00
Multinomial	2012	44.00
Multinomial	2014	79.00
Multinomial	2016	61.00
Multinomial	2018	50.00
Multinomial	2020	1.00
Multinomial	2022	52.00
Multinomial	2024	79.00

8.5 Parameter Estimates

Estimated fixed-effect parameters and their standard errors from the SPoRC dev model are shown in Table 11. Repeated parameter names are distinguished by their instance number in the underlying parameter vector.

gt(parameter_summary) |>
  fmt_number(columns = c(Estimate, `Std. Error`), decimals = 4) |>
  cols_label(
    parameter = "Parameter",
    instance = "Instance",
    Estimate = "Estimate",
    `Std. Error` = "Standard error"
  )

Table 11: SPoRC dev-model fixed-effect parameter estimates and standard errors.

Parameter	Instance	Estimate	Standard error
ln_global_R0	1	11.8034	NaN
ln_InitDevs	1	−2.7475	NaN
ln_InitDevs.1	1	−2.7671	NaN
ln_InitDevs.2	1	−4.0436	NaN
ln_InitDevs.3	1	−5.1608	NaN
ln_InitDevs.4	1	−3.6680	NaN
ln_InitDevs.5	1	−4.2403	NaN
ln_InitDevs.6	1	−6.0079	NaN
ln_InitDevs.7	1	−38.7926	NaN
ln_InitDevs.8	1	−36.0825	NaN
ln_InitDevs.9	1	−33.7880	NaN
ln_InitDevs.10	1	−33.7768	NaN
ln_InitDevs.11	1	−23.4553	NaN
ln_InitDevs.12	1	−21.6448	NaN
ln_InitDevs.13	1	−1.4677	NaN
ln_RecDevs	1	−2.4240	NaN
ln_RecDevs.1	1	1.1567	NaN
ln_RecDevs.2	1	0.5540	NaN
ln_RecDevs.3	1	1.4350	NaN
ln_RecDevs.4	1	1.0698	NaN
ln_RecDevs.5	1	1.1330	NaN
ln_RecDevs.6	1	0.7584	NaN
ln_RecDevs.7	1	−0.0062	NaN
ln_RecDevs.8	1	−0.2820	NaN
ln_RecDevs.9	1	0.7952	NaN
ln_RecDevs.10	1	0.4360	NaN
ln_RecDevs.11	1	0.7619	NaN
ln_RecDevs.12	1	0.9341	NaN
ln_RecDevs.13	1	1.2014	NaN
ln_RecDevs.14	1	1.7049	NaN
ln_RecDevs.15	1	2.8512	NaN
ln_RecDevs.16	1	1.7814	NaN
ln_RecDevs.17	1	1.5899	NaN
ln_RecDevs.18	1	0.0658	NaN
ln_RecDevs.19	1	1.2197	NaN
ln_RecDevs.20	1	−1.1084	NaN
ln_RecDevs.21	1	0.5754	NaN
ln_RecDevs.22	1	−0.4123	NaN
ln_RecDevs.23	1	−1.0987	NaN
ln_RecDevs.24	1	−1.2994	NaN
ln_RecDevs.25	1	−1.2084	NaN
ln_RecDevs.26	1	1.1836	NaN
ln_RecDevs.27	1	0.3814	NaN
ln_RecDevs.28	1	0.0540	NaN
ln_RecDevs.29	1	1.0768	NaN
ln_RecDevs.30	1	−0.5720	NaN
ln_RecDevs.31	1	−0.7830	NaN
ln_RecDevs.32	1	0.1501	NaN
ln_RecDevs.33	1	0.5407	NaN
ln_RecDevs.34	1	−0.3908	NaN
ln_RecDevs.35	1	−0.1092	NaN
ln_RecDevs.36	1	0.2849	NaN
ln_RecDevs.37	1	0.7746	NaN
ln_RecDevs.38	1	0.2492	NaN
ln_RecDevs.39	1	−0.0687	NaN
ln_RecDevs.40	1	−0.8978	NaN
ln_RecDevs.41	1	−1.3691	NaN
ln_RecDevs.42	1	−0.3065	NaN
ln_RecDevs.43	1	0.6995	NaN
ln_RecDevs.44	1	−0.9146	NaN
ln_RecDevs.45	1	1.4134	NaN
ln_RecDevs.46	1	0.3430	NaN
ln_RecDevs.47	1	0.2425	NaN
ln_RecDevs.48	1	−0.4873	NaN
ln_RecDevs.49	1	1.2119	NaN
ln_RecDevs.50	1	1.1273	NaN
ln_RecDevs.51	1	0.0792	NaN
ln_RecDevs.52	1	−0.9221	NaN
ln_RecDevs.53	1	−0.6188	NaN
ln_RecDevs.54	1	−0.3238	NaN
ln_RecDevs.55	1	1.6893	NaN
ln_RecDevs.56	1	−0.1832	NaN
ln_RecDevs.57	1	−0.0192	NaN
ln_RecDevs.58	1	−0.2866	NaN
ln_RecDevs.59	1	0.3107	NaN
ln_RecDevs.60	1	1.0637	NaN
ln_F_mean	1	−2.2069	NaN
ln_F_devs	1	0.8671	NaN
ln_F_devs.1	1	0.9502	NaN
ln_F_devs.2	1	0.8002	NaN
ln_F_devs.3	1	1.3466	NaN
ln_F_devs.4	1	1.3584	NaN
ln_F_devs.5	1	1.3650	NaN
ln_F_devs.6	1	1.5851	NaN
ln_F_devs.7	1	1.7964	NaN
ln_F_devs.8	1	1.8872	NaN
ln_F_devs.9	1	1.9520	NaN
ln_F_devs.10	1	2.1813	NaN
ln_F_devs.11	1	2.2894	NaN
ln_F_devs.12	1	2.0649	NaN
ln_F_devs.13	1	1.7255	NaN
ln_F_devs.14	1	1.6097	NaN
ln_F_devs.15	1	1.3456	NaN
ln_F_devs.16	1	0.9541	NaN
ln_F_devs.17	1	0.3385	NaN
ln_F_devs.18	1	−0.3374	NaN
ln_F_devs.19	1	−0.6896	NaN
ln_F_devs.20	1	−0.7453	NaN
ln_F_devs.21	1	−0.7283	NaN
ln_F_devs.22	1	−0.7378	NaN
ln_F_devs.23	1	−0.9949	NaN
ln_F_devs.24	1	−0.5629	NaN
ln_F_devs.25	1	−0.4959	NaN
ln_F_devs.26	1	−0.0951	NaN
ln_F_devs.27	1	−0.0021	NaN
ln_F_devs.28	1	0.1894	NaN
ln_F_devs.29	1	−0.3681	NaN
ln_F_devs.30	1	−0.6843	NaN
ln_F_devs.31	1	−0.8018	NaN
ln_F_devs.32	1	−0.8002	NaN
ln_F_devs.33	1	−0.6314	NaN
ln_F_devs.34	1	−0.6820	NaN
ln_F_devs.35	1	−0.6929	NaN
ln_F_devs.36	1	−0.5564	NaN
ln_F_devs.37	1	−0.4148	NaN
ln_F_devs.38	1	−0.2683	NaN
ln_F_devs.39	1	−0.1964	NaN
ln_F_devs.40	1	−0.3705	NaN
ln_F_devs.41	1	−0.4709	NaN
ln_F_devs.42	1	−0.2938	NaN
ln_F_devs.43	1	−0.3240	NaN
ln_F_devs.44	1	−0.4258	NaN
ln_F_devs.45	1	−0.5712	NaN
ln_F_devs.46	1	−0.7948	NaN
ln_F_devs.47	1	−0.5608	NaN
ln_F_devs.48	1	−0.5997	NaN
ln_F_devs.49	1	−0.7779	NaN
ln_F_devs.50	1	−0.8775	NaN
ln_F_devs.51	1	−0.7068	NaN
ln_F_devs.52	1	−1.0120	NaN
ln_F_devs.53	1	−1.0220	NaN
ln_F_devs.54	1	−1.1693	NaN
ln_F_devs.55	1	−1.1613	NaN
ln_F_devs.56	1	−0.6312	NaN
ln_F_devs.57	1	−0.6173	NaN
ln_F_devs.58	1	−0.8872	NaN
ln_F_devs.59	1	−0.9181	NaN
ln_F_devs.60	1	−0.9287	NaN
ln_fish_fixed_sel_pars	1	−0.7322	NaN
ln_fish_fixed_sel_pars.1	1	−99.3477	NaN
ln_fish_fixed_sel_pars.2	1	1.1542	NaN
ln_fish_fixed_sel_pars.3	1	2.4920	NaN
ln_fish_fixed_sel_pars.4	1	−6.0565	NaN
ln_fish_fixed_sel_pars.5	1	−1.6848	NaN
ln_fish_q	1	0.2388	NaN
ln_fishsel_devs	1	0.0134	NaN
ln_fishsel_devs.1	1	0.0233	NaN
ln_fishsel_devs.2	1	−0.0240	NaN
ln_fishsel_devs.3	1	0.0445	NaN
ln_fishsel_devs.4	1	0.0102	NaN
ln_fishsel_devs.5	1	0.0614	NaN
ln_fishsel_devs.6	1	0.0198	NaN
ln_fishsel_devs.7	1	−0.0008	NaN
ln_fishsel_devs.8	1	−0.0009	NaN
ln_fishsel_devs.9	1	−0.0003	NaN
ln_fishsel_devs.10	1	0.0005	NaN
ln_fishsel_devs.11	1	0.0012	NaN
ln_fishsel_devs.12	1	0.0012	NaN
ln_fishsel_devs.13	1	−0.0009	NaN
ln_fishsel_devs.14	1	−0.0707	NaN
ln_fishsel_devs.15	1	0.0474	NaN
ln_fishsel_devs.16	1	−0.0084	NaN
ln_fishsel_devs.17	1	0.0086	NaN
ln_fishsel_devs.18	1	0.0608	NaN
ln_fishsel_devs.19	1	0.0006	NaN
ln_fishsel_devs.20	1	0.0339	NaN
ln_fishsel_devs.21	1	−0.0036	NaN
ln_fishsel_devs.22	1	−0.0158	NaN
ln_fishsel_devs.23	1	−0.0100	NaN
ln_fishsel_devs.24	1	−0.0038	NaN
ln_fishsel_devs.25	1	0.0035	NaN
ln_fishsel_devs.26	1	0.0099	NaN
ln_fishsel_devs.27	1	0.0088	NaN
ln_fishsel_devs.28	1	−0.0038	NaN
ln_fishsel_devs.29	1	−0.0473	NaN
ln_fishsel_devs.30	1	0.0670	NaN
ln_fishsel_devs.31	1	0.0294	NaN
ln_fishsel_devs.32	1	0.0202	NaN
ln_fishsel_devs.33	1	0.0275	NaN
ln_fishsel_devs.34	1	−0.0297	NaN
ln_fishsel_devs.35	1	0.0141	NaN
ln_fishsel_devs.36	1	−0.0005	NaN
ln_fishsel_devs.37	1	−0.0161	NaN
ln_fishsel_devs.38	1	−0.0142	NaN
ln_fishsel_devs.39	1	−0.0058	NaN
ln_fishsel_devs.40	1	0.0040	NaN
ln_fishsel_devs.41	1	0.0117	NaN
ln_fishsel_devs.42	1	0.0100	NaN
ln_fishsel_devs.43	1	−0.0018	NaN
ln_fishsel_devs.44	1	−0.0317	NaN
ln_fishsel_devs.45	1	0.0606	NaN
ln_fishsel_devs.46	1	0.0534	NaN
ln_fishsel_devs.47	1	0.1069	NaN
ln_fishsel_devs.48	1	−0.0078	NaN
ln_fishsel_devs.49	1	−0.0599	NaN
ln_fishsel_devs.50	1	−0.0096	NaN
ln_fishsel_devs.51	1	−0.0050	NaN
ln_fishsel_devs.52	1	−0.0101	NaN
ln_fishsel_devs.53	1	−0.0122	NaN
ln_fishsel_devs.54	1	−0.0067	NaN
ln_fishsel_devs.55	1	0.0034	NaN
ln_fishsel_devs.56	1	0.0112	NaN
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ln_fishsel_devs.59	1	−0.0224	NaN
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ln_fishsel_devs.61	1	0.0583	NaN
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ln_fishsel_devs.64	1	−0.0554	NaN
ln_fishsel_devs.65	1	−0.0075	NaN
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ln_fishsel_devs.67	1	−0.0101	NaN
ln_fishsel_devs.68	1	−0.0085	NaN
ln_fishsel_devs.69	1	−0.0056	NaN
ln_fishsel_devs.70	1	0.0029	NaN
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ln_fishsel_devs.72	1	0.0092	NaN
ln_fishsel_devs.73	1	0.0012	NaN
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ln_fishsel_devs.75	1	0.0870	NaN
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ln_fishsel_devs.77	1	0.1027	NaN
ln_fishsel_devs.78	1	0.0159	NaN
ln_fishsel_devs.79	1	−0.0948	NaN
ln_fishsel_devs.80	1	−0.0182	NaN
ln_fishsel_devs.81	1	−0.0113	NaN
ln_fishsel_devs.82	1	−0.0124	NaN
ln_fishsel_devs.83	1	−0.0084	NaN
ln_fishsel_devs.84	1	−0.0042	NaN
ln_fishsel_devs.85	1	0.0033	NaN
ln_fishsel_devs.86	1	0.0103	NaN
ln_fishsel_devs.87	1	0.0090	NaN
ln_fishsel_devs.88	1	0.0017	NaN
ln_fishsel_devs.89	1	−0.0138	NaN
ln_fishsel_devs.90	1	0.1498	NaN
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ln_fishsel_devs.92	1	0.0927	NaN
ln_fishsel_devs.93	1	−0.0514	NaN
ln_fishsel_devs.94	1	−0.0986	NaN
ln_fishsel_devs.95	1	−0.0300	NaN
ln_fishsel_devs.96	1	−0.0129	NaN
ln_fishsel_devs.97	1	−0.0122	NaN
ln_fishsel_devs.98	1	−0.0092	NaN
ln_fishsel_devs.99	1	−0.0042	NaN
ln_fishsel_devs.100	1	0.0037	NaN
ln_fishsel_devs.101	1	0.0104	NaN
ln_fishsel_devs.102	1	0.0089	NaN
ln_fishsel_devs.103	1	0.0019	NaN
ln_fishsel_devs.104	1	−0.0122	NaN
ln_fishsel_devs.105	1	0.1465	NaN
ln_fishsel_devs.106	1	0.0638	NaN
ln_fishsel_devs.107	1	0.0679	NaN
ln_fishsel_devs.108	1	−0.0202	NaN
ln_fishsel_devs.109	1	−0.0586	NaN
ln_fishsel_devs.110	1	−0.0092	NaN
ln_fishsel_devs.111	1	−0.0167	NaN
ln_fishsel_devs.112	1	−0.0141	NaN
ln_fishsel_devs.113	1	−0.0094	NaN
ln_fishsel_devs.114	1	−0.0044	NaN
ln_fishsel_devs.115	1	0.0037	NaN
ln_fishsel_devs.116	1	0.0105	NaN
ln_fishsel_devs.117	1	0.0089	NaN
ln_fishsel_devs.118	1	0.0021	NaN
ln_fishsel_devs.119	1	−0.0115	NaN
ln_fishsel_devs.120	1	0.0955	NaN
ln_fishsel_devs.121	1	0.0681	NaN
ln_fishsel_devs.122	1	0.0953	NaN
ln_fishsel_devs.123	1	0.0161	NaN
ln_fishsel_devs.124	1	−0.0616	NaN
ln_fishsel_devs.125	1	−0.0140	NaN
ln_fishsel_devs.126	1	−0.0136	NaN
ln_fishsel_devs.127	1	−0.0168	NaN
ln_fishsel_devs.128	1	−0.0089	NaN
ln_fishsel_devs.129	1	−0.0040	NaN
ln_fishsel_devs.130	1	0.0036	NaN
ln_fishsel_devs.131	1	0.0104	NaN
ln_fishsel_devs.132	1	0.0089	NaN
ln_fishsel_devs.133	1	0.0021	NaN
ln_fishsel_devs.134	1	−0.0114	NaN
ln_fishsel_devs.135	1	0.0819	NaN
ln_fishsel_devs.136	1	0.0843	NaN
ln_fishsel_devs.137	1	0.0623	NaN
ln_fishsel_devs.138	1	0.0024	NaN
ln_fishsel_devs.139	1	−0.0570	NaN
ln_fishsel_devs.140	1	0.0063	NaN
ln_fishsel_devs.141	1	−0.0004	NaN
ln_fishsel_devs.142	1	−0.0064	NaN
ln_fishsel_devs.143	1	−0.0044	NaN
ln_fishsel_devs.144	1	−0.0028	NaN
ln_fishsel_devs.145	1	0.0037	NaN
ln_fishsel_devs.146	1	0.0103	NaN
ln_fishsel_devs.147	1	0.0088	NaN
ln_fishsel_devs.148	1	0.0021	NaN
ln_fishsel_devs.149	1	−0.0116	NaN
ln_fishsel_devs.150	1	0.0925	NaN
ln_fishsel_devs.151	1	0.1970	NaN
ln_fishsel_devs.152	1	0.1146	NaN
ln_fishsel_devs.153	1	−0.0332	NaN
ln_fishsel_devs.154	1	−0.1110	NaN
ln_fishsel_devs.155	1	−0.0359	NaN
ln_fishsel_devs.156	1	−0.0203	NaN
ln_fishsel_devs.157	1	−0.0137	NaN
ln_fishsel_devs.158	1	−0.0062	NaN
ln_fishsel_devs.159	1	−0.0022	NaN
ln_fishsel_devs.160	1	0.0042	NaN
ln_fishsel_devs.161	1	0.0104	NaN
ln_fishsel_devs.162	1	0.0088	NaN
ln_fishsel_devs.163	1	0.0020	NaN
ln_fishsel_devs.164	1	−0.0116	NaN
ln_fishsel_devs.165	1	0.0682	NaN
ln_fishsel_devs.166	1	0.1183	NaN
ln_fishsel_devs.167	1	0.2047	NaN
ln_fishsel_devs.168	1	0.0050	NaN
ln_fishsel_devs.169	1	−0.0987	NaN
ln_fishsel_devs.170	1	−0.0415	NaN
ln_fishsel_devs.171	1	−0.0331	NaN
ln_fishsel_devs.172	1	−0.0214	NaN
ln_fishsel_devs.173	1	−0.0104	NaN
ln_fishsel_devs.174	1	−0.0034	NaN
ln_fishsel_devs.175	1	0.0040	NaN
ln_fishsel_devs.176	1	0.0105	NaN
ln_fishsel_devs.177	1	0.0088	NaN
ln_fishsel_devs.178	1	0.0020	NaN
ln_fishsel_devs.179	1	−0.0115	NaN
ln_fishsel_devs.180	1	0.0628	NaN
ln_fishsel_devs.181	1	0.0785	NaN
ln_fishsel_devs.182	1	0.1461	NaN
ln_fishsel_devs.183	1	0.0412	NaN
ln_fishsel_devs.184	1	−0.0676	NaN
ln_fishsel_devs.185	1	−0.0229	NaN
ln_fishsel_devs.186	1	−0.0305	NaN
ln_fishsel_devs.187	1	−0.0228	NaN
ln_fishsel_devs.188	1	−0.0106	NaN
ln_fishsel_devs.189	1	−0.0033	NaN
ln_fishsel_devs.190	1	0.0043	NaN
ln_fishsel_devs.191	1	0.0107	NaN
ln_fishsel_devs.192	1	0.0089	NaN
ln_fishsel_devs.193	1	0.0020	NaN
ln_fishsel_devs.194	1	−0.0114	NaN
ln_fishsel_devs.195	1	0.0824	NaN
ln_fishsel_devs.196	1	0.1393	NaN
ln_fishsel_devs.197	1	0.1336	NaN
ln_fishsel_devs.198	1	−0.0028	NaN
ln_fishsel_devs.199	1	−0.0969	NaN
ln_fishsel_devs.200	1	−0.0402	NaN
ln_fishsel_devs.201	1	−0.0326	NaN
ln_fishsel_devs.202	1	−0.0241	NaN
ln_fishsel_devs.203	1	−0.0110	NaN
ln_fishsel_devs.204	1	−0.0027	NaN
ln_fishsel_devs.205	1	0.0050	NaN
ln_fishsel_devs.206	1	0.0109	NaN
ln_fishsel_devs.207	1	0.0089	NaN
ln_fishsel_devs.208	1	0.0021	NaN
ln_fishsel_devs.209	1	−0.0113	NaN
ln_fishsel_devs.210	1	0.0650	NaN
ln_fishsel_devs.211	1	0.2602	NaN
ln_fishsel_devs.212	1	0.2457	NaN
ln_fishsel_devs.213	1	−0.0370	NaN
ln_fishsel_devs.214	1	−0.1955	NaN
ln_fishsel_devs.215	1	−0.1387	NaN
ln_fishsel_devs.216	1	−0.0552	NaN
ln_fishsel_devs.217	1	−0.0193	NaN
ln_fishsel_devs.218	1	−0.0033	NaN
ln_fishsel_devs.219	1	0.0026	NaN
ln_fishsel_devs.220	1	0.0073	NaN
ln_fishsel_devs.221	1	0.0117	NaN
ln_fishsel_devs.222	1	0.0091	NaN
ln_fishsel_devs.223	1	0.0021	NaN
ln_fishsel_devs.224	1	−0.0111	NaN
ln_fishsel_devs.225	1	0.0416	NaN
ln_fishsel_devs.226	1	0.2441	NaN
ln_fishsel_devs.227	1	0.2292	NaN
ln_fishsel_devs.228	1	−0.0755	NaN
ln_fishsel_devs.229	1	−0.1865	NaN
ln_fishsel_devs.230	1	−0.0900	NaN
ln_fishsel_devs.231	1	−0.0611	NaN
ln_fishsel_devs.232	1	−0.0157	NaN
ln_fishsel_devs.233	1	0.0041	NaN
ln_fishsel_devs.234	1	0.0076	NaN
ln_fishsel_devs.235	1	0.0095	NaN
ln_fishsel_devs.236	1	0.0123	NaN
ln_fishsel_devs.237	1	0.0092	NaN
ln_fishsel_devs.238	1	0.0022	NaN
ln_fishsel_devs.239	1	−0.0110	NaN
ln_fishsel_devs.240	1	0.0275	NaN
ln_fishsel_devs.241	1	0.0930	NaN
ln_fishsel_devs.242	1	0.1808	NaN
ln_fishsel_devs.243	1	−0.0276	NaN
ln_fishsel_devs.244	1	−0.1426	NaN
ln_fishsel_devs.245	1	−0.0388	NaN
ln_fishsel_devs.246	1	−0.0257	NaN
ln_fishsel_devs.247	1	−0.0121	NaN
ln_fishsel_devs.248	1	0.0009	NaN
ln_fishsel_devs.249	1	0.0050	NaN
ln_fishsel_devs.250	1	0.0092	NaN
ln_fishsel_devs.251	1	0.0125	NaN
ln_fishsel_devs.252	1	0.0093	NaN
ln_fishsel_devs.253	1	0.0022	NaN
ln_fishsel_devs.254	1	−0.0109	NaN
ln_fishsel_devs.255	1	0.0257	NaN
ln_fishsel_devs.256	1	−0.0010	NaN
ln_fishsel_devs.257	1	0.0986	NaN
ln_fishsel_devs.258	1	0.0213	NaN
ln_fishsel_devs.259	1	−0.0835	NaN
ln_fishsel_devs.260	1	−0.0259	NaN
ln_fishsel_devs.261	1	−0.0174	NaN
ln_fishsel_devs.262	1	−0.0076	NaN
ln_fishsel_devs.263	1	−0.0002	NaN
ln_fishsel_devs.264	1	0.0012	NaN
ln_fishsel_devs.265	1	0.0061	NaN
ln_fishsel_devs.266	1	0.0112	NaN
ln_fishsel_devs.267	1	0.0090	NaN
ln_fishsel_devs.268	1	0.0022	NaN
ln_fishsel_devs.269	1	−0.0109	NaN
ln_fishsel_devs.270	1	0.0479	NaN
ln_fishsel_devs.271	1	−0.0253	NaN
ln_fishsel_devs.272	1	−0.0172	NaN
ln_fishsel_devs.273	1	0.0249	NaN
ln_fishsel_devs.274	1	−0.0481	NaN
ln_fishsel_devs.275	1	−0.0132	NaN
ln_fishsel_devs.276	1	−0.0155	NaN
ln_fishsel_devs.277	1	−0.0019	NaN
ln_fishsel_devs.278	1	0.0035	NaN
ln_fishsel_devs.279	1	0.0025	NaN
ln_fishsel_devs.280	1	0.0055	NaN
ln_fishsel_devs.281	1	0.0106	NaN
ln_fishsel_devs.282	1	0.0088	NaN
ln_fishsel_devs.283	1	0.0021	NaN
ln_fishsel_devs.284	1	−0.0109	NaN
ln_fishsel_devs.285	1	0.0579	NaN
ln_fishsel_devs.286	1	0.0357	NaN
ln_fishsel_devs.287	1	0.0088	NaN
ln_fishsel_devs.288	1	−0.0331	NaN
ln_fishsel_devs.289	1	−0.0854	NaN
ln_fishsel_devs.290	1	−0.0294	NaN
ln_fishsel_devs.291	1	−0.0298	NaN
ln_fishsel_devs.292	1	−0.0103	NaN
ln_fishsel_devs.293	1	0.0035	NaN
ln_fishsel_devs.294	1	0.0046	NaN
ln_fishsel_devs.295	1	0.0074	NaN
ln_fishsel_devs.296	1	0.0111	NaN
ln_fishsel_devs.297	1	0.0088	NaN
ln_fishsel_devs.298	1	0.0021	NaN
ln_fishsel_devs.299	1	−0.0109	NaN
ln_fishsel_devs.300	1	0.0570	NaN
ln_fishsel_devs.301	1	0.0114	NaN
ln_fishsel_devs.302	1	0.0266	NaN
ln_fishsel_devs.303	1	−0.0030	NaN
ln_fishsel_devs.304	1	−0.0538	NaN
ln_fishsel_devs.305	1	−0.0508	NaN
ln_fishsel_devs.306	1	−0.0566	NaN
ln_fishsel_devs.307	1	−0.0261	NaN
ln_fishsel_devs.308	1	−0.0015	NaN
ln_fishsel_devs.309	1	0.0065	NaN
ln_fishsel_devs.310	1	0.0097	NaN
ln_fishsel_devs.311	1	0.0124	NaN
ln_fishsel_devs.312	1	0.0092	NaN
ln_fishsel_devs.313	1	0.0022	NaN
ln_fishsel_devs.314	1	−0.0109	NaN
ln_fishsel_devs.315	1	0.0528	NaN
ln_fishsel_devs.316	1	0.0358	NaN
ln_fishsel_devs.317	1	0.1021	NaN
ln_fishsel_devs.318	1	−0.0160	NaN
ln_fishsel_devs.319	1	−0.1160	NaN
ln_fishsel_devs.320	1	−0.0456	NaN
ln_fishsel_devs.321	1	−0.0632	NaN
ln_fishsel_devs.322	1	−0.0485	NaN
ln_fishsel_devs.323	1	−0.0116	NaN
ln_fishsel_devs.324	1	0.0103	NaN
ln_fishsel_devs.325	1	0.0152	NaN
ln_fishsel_devs.326	1	0.0149	NaN
ln_fishsel_devs.327	1	0.0102	NaN
ln_fishsel_devs.328	1	0.0024	NaN
ln_fishsel_devs.329	1	−0.0108	NaN
ln_fishsel_devs.330	1	0.0596	NaN
ln_fishsel_devs.331	1	0.0375	NaN
ln_fishsel_devs.332	1	0.0424	NaN
ln_fishsel_devs.333	1	0.0413	NaN
ln_fishsel_devs.334	1	−0.0792	NaN
ln_fishsel_devs.335	1	−0.0382	NaN
ln_fishsel_devs.336	1	−0.0724	NaN
ln_fishsel_devs.337	1	−0.0949	NaN
ln_fishsel_devs.338	1	−0.0139	NaN
ln_fishsel_devs.339	1	0.0121	NaN
ln_fishsel_devs.340	1	0.0149	NaN
ln_fishsel_devs.341	1	0.0160	NaN
ln_fishsel_devs.342	1	0.0113	NaN
ln_fishsel_devs.343	1	0.0028	NaN
ln_fishsel_devs.344	1	−0.0110	NaN
ln_fishsel_devs.345	1	0.0580	NaN
ln_fishsel_devs.346	1	0.0210	NaN
ln_fishsel_devs.347	1	0.0348	NaN
ln_fishsel_devs.348	1	−0.0209	NaN
ln_fishsel_devs.349	1	−0.1358	NaN
ln_fishsel_devs.350	1	−0.0529	NaN
ln_fishsel_devs.351	1	−0.0898	NaN
ln_fishsel_devs.352	1	−0.0466	NaN
ln_fishsel_devs.353	1	0.0665	NaN
ln_fishsel_devs.354	1	0.0364	NaN
ln_fishsel_devs.355	1	0.0238	NaN
ln_fishsel_devs.356	1	0.0223	NaN
ln_fishsel_devs.357	1	0.0139	NaN
ln_fishsel_devs.358	1	0.0025	NaN
ln_fishsel_devs.359	1	−0.0119	NaN
ln_fishsel_devs.360	1	0.0518	NaN
ln_fishsel_devs.361	1	0.0333	NaN
ln_fishsel_devs.362	1	0.1485	NaN
ln_fishsel_devs.363	1	0.0071	NaN
ln_fishsel_devs.364	1	−0.0786	NaN
ln_fishsel_devs.365	1	−0.0680	NaN
ln_fishsel_devs.366	1	−0.0300	NaN
ln_fishsel_devs.367	1	−0.0719	NaN
ln_fishsel_devs.368	1	−0.0379	NaN
ln_fishsel_devs.369	1	−0.0194	NaN
ln_fishsel_devs.370	1	0.0069	NaN
ln_fishsel_devs.371	1	0.0126	NaN
ln_fishsel_devs.372	1	0.0052	NaN
ln_fishsel_devs.373	1	−0.0026	NaN
ln_fishsel_devs.374	1	−0.0148	NaN
ln_fishsel_devs.375	1	0.0482	NaN
ln_fishsel_devs.376	1	0.0047	NaN
ln_fishsel_devs.377	1	0.0273	NaN
ln_fishsel_devs.378	1	−0.0315	NaN
ln_fishsel_devs.379	1	−0.1180	NaN
ln_fishsel_devs.380	1	−0.0046	NaN
ln_fishsel_devs.381	1	0.0432	NaN
ln_fishsel_devs.382	1	−0.0222	NaN
ln_fishsel_devs.383	1	−0.0432	NaN
ln_fishsel_devs.384	1	−0.0092	NaN
ln_fishsel_devs.385	1	0.0373	NaN
ln_fishsel_devs.386	1	0.0243	NaN
ln_fishsel_devs.387	1	0.0108	NaN
ln_fishsel_devs.388	1	0.0031	NaN
ln_fishsel_devs.389	1	−0.0095	NaN
ln_fishsel_devs.390	1	0.0123	NaN
ln_fishsel_devs.391	1	−0.0276	NaN
ln_fishsel_devs.392	1	−0.0295	NaN
ln_fishsel_devs.393	1	−0.0340	NaN
ln_fishsel_devs.394	1	−0.1238	NaN
ln_fishsel_devs.395	1	−0.1104	NaN
ln_fishsel_devs.396	1	−0.0268	NaN
ln_fishsel_devs.397	1	−0.0315	NaN
ln_fishsel_devs.398	1	−0.0236	NaN
ln_fishsel_devs.399	1	0.0130	NaN
ln_fishsel_devs.400	1	0.0817	NaN
ln_fishsel_devs.401	1	0.0878	NaN
ln_fishsel_devs.402	1	0.0951	NaN
ln_fishsel_devs.403	1	0.0660	NaN
ln_fishsel_devs.404	1	0.0393	NaN
ln_fishsel_devs.405	1	−0.0487	NaN
ln_fishsel_devs.406	1	−0.0873	NaN
ln_fishsel_devs.407	1	−0.0765	NaN
ln_fishsel_devs.408	1	−0.1989	NaN
ln_fishsel_devs.409	1	−0.3085	NaN
ln_fishsel_devs.410	1	−0.3485	NaN
ln_fishsel_devs.411	1	−0.1106	NaN
ln_fishsel_devs.412	1	−0.1032	NaN
ln_fishsel_devs.413	1	−0.0096	NaN
ln_fishsel_devs.414	1	0.0786	NaN
ln_fishsel_devs.415	1	0.2914	NaN
ln_fishsel_devs.416	1	0.2184	NaN
ln_fishsel_devs.417	1	0.3181	NaN
ln_fishsel_devs.418	1	0.2222	NaN
ln_fishsel_devs.419	1	0.1666	NaN
ln_fishsel_devs.420	1	−0.0610	NaN
ln_fishsel_devs.421	1	−0.0051	NaN
ln_fishsel_devs.422	1	0.1574	NaN
ln_fishsel_devs.423	1	−0.0778	NaN
ln_fishsel_devs.424	1	−0.3630	NaN
ln_fishsel_devs.425	1	−0.2909	NaN
ln_fishsel_devs.426	1	−0.2368	NaN
ln_fishsel_devs.427	1	−0.0981	NaN
ln_fishsel_devs.428	1	0.0182	NaN
ln_fishsel_devs.429	1	0.1614	NaN
ln_fishsel_devs.430	1	0.1505	NaN
ln_fishsel_devs.431	1	0.1510	NaN
ln_fishsel_devs.432	1	0.1611	NaN
ln_fishsel_devs.433	1	0.2025	NaN
ln_fishsel_devs.434	1	0.1362	NaN
ln_fishsel_devs.435	1	−0.1062	NaN
ln_fishsel_devs.436	1	−0.1135	NaN
ln_fishsel_devs.437	1	0.1641	NaN
ln_fishsel_devs.438	1	0.3015	NaN
ln_fishsel_devs.439	1	−0.1459	NaN
ln_fishsel_devs.440	1	−0.1122	NaN
ln_fishsel_devs.441	1	−0.0899	NaN
ln_fishsel_devs.442	1	−0.1159	NaN
ln_fishsel_devs.443	1	−0.0616	NaN
ln_fishsel_devs.444	1	−0.0005	NaN
ln_fishsel_devs.445	1	0.0261	NaN
ln_fishsel_devs.446	1	0.0451	NaN
ln_fishsel_devs.447	1	0.0566	NaN
ln_fishsel_devs.448	1	0.0623	NaN
ln_fishsel_devs.449	1	0.0617	NaN
ln_fishsel_devs.450	1	−0.0077	NaN
ln_fishsel_devs.451	1	−0.1816	NaN
ln_fishsel_devs.452	1	−0.1769	NaN
ln_fishsel_devs.453	1	0.0494	NaN
ln_fishsel_devs.454	1	0.2882	NaN
ln_fishsel_devs.455	1	0.1957	NaN
ln_fishsel_devs.456	1	0.0535	NaN
ln_fishsel_devs.457	1	−0.0720	NaN
ln_fishsel_devs.458	1	−0.1216	NaN
ln_fishsel_devs.459	1	−0.0971	NaN
ln_fishsel_devs.460	1	−0.0197	NaN
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ln_fishsel_devs.467	1	−0.4129	NaN
ln_fishsel_devs.468	1	−0.2803	NaN
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ln_fishsel_devs.470	1	0.4074	NaN
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ln_fishsel_devs.472	1	0.0881	NaN
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ln_fishsel_devs.475	1	−0.0019	NaN
ln_fishsel_devs.476	1	0.0098	NaN
ln_fishsel_devs.477	1	0.0036	NaN
ln_fishsel_devs.478	1	−0.0009	NaN
ln_fishsel_devs.479	1	−0.0038	NaN
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ln_fishsel_devs.483	1	−0.7623	NaN
ln_fishsel_devs.484	1	−0.3413	NaN
ln_fishsel_devs.485	1	0.2300	NaN
ln_fishsel_devs.486	1	0.4816	NaN
ln_fishsel_devs.487	1	0.2177	NaN
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ln_fishsel_devs.492	1	0.0086	NaN
ln_fishsel_devs.493	1	0.0044	NaN
ln_fishsel_devs.494	1	−0.0058	NaN
ln_fishsel_devs.495	1	0.0662	NaN
ln_fishsel_devs.496	1	0.3081	NaN
ln_fishsel_devs.497	1	−0.0356	NaN
ln_fishsel_devs.498	1	−0.3501	NaN
ln_fishsel_devs.499	1	−0.4187	NaN
ln_fishsel_devs.500	1	0.1185	NaN
ln_fishsel_devs.501	1	0.1468	NaN
ln_fishsel_devs.502	1	−0.0186	NaN
ln_fishsel_devs.503	1	0.0366	NaN
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ln_fishsel_devs.505	1	0.0266	NaN
ln_fishsel_devs.506	1	0.0167	NaN
ln_fishsel_devs.507	1	0.0045	NaN
ln_fishsel_devs.508	1	0.0001	NaN
ln_fishsel_devs.509	1	−0.0064	NaN
ln_fishsel_devs.510	1	0.0357	NaN
ln_fishsel_devs.511	1	0.1120	NaN
ln_fishsel_devs.512	1	0.0354	NaN
ln_fishsel_devs.513	1	−0.2014	NaN
ln_fishsel_devs.514	1	−0.2674	NaN
ln_fishsel_devs.515	1	0.2492	NaN
ln_fishsel_devs.516	1	0.0999	NaN
ln_fishsel_devs.517	1	−0.0073	NaN
ln_fishsel_devs.518	1	−0.0316	NaN
ln_fishsel_devs.519	1	−0.0498	NaN
ln_fishsel_devs.520	1	−0.0056	NaN
ln_fishsel_devs.521	1	0.0197	NaN
ln_fishsel_devs.522	1	0.0118	NaN
ln_fishsel_devs.523	1	−0.0121	NaN
ln_fishsel_devs.524	1	−0.0496	NaN
ln_fishsel_devs.525	1	−0.0426	NaN
ln_fishsel_devs.526	1	0.0519	NaN
ln_fishsel_devs.527	1	0.5315	NaN
ln_fishsel_devs.528	1	−0.0229	NaN
ln_fishsel_devs.529	1	−0.2430	NaN
ln_fishsel_devs.530	1	−0.0395	NaN
ln_fishsel_devs.531	1	0.2721	NaN
ln_fishsel_devs.532	1	0.0633	NaN
ln_fishsel_devs.533	1	−0.1490	NaN
ln_fishsel_devs.534	1	−0.2668	NaN
ln_fishsel_devs.535	1	−0.0968	NaN
ln_fishsel_devs.536	1	−0.0025	NaN
ln_fishsel_devs.537	1	0.0102	NaN
ln_fishsel_devs.538	1	−0.0218	NaN
ln_fishsel_devs.539	1	−0.1041	NaN
ln_fishsel_devs.540	1	−0.0734	NaN
ln_fishsel_devs.541	1	−0.0773	NaN
ln_fishsel_devs.542	1	0.0455	NaN
ln_fishsel_devs.543	1	0.0587	NaN
ln_fishsel_devs.544	1	−0.0716	NaN
ln_fishsel_devs.545	1	−0.0836	NaN
ln_fishsel_devs.546	1	0.1897	NaN
ln_fishsel_devs.547	1	0.3868	NaN
ln_fishsel_devs.548	1	−0.0102	NaN
ln_fishsel_devs.549	1	−0.1602	NaN
ln_fishsel_devs.550	1	−0.1252	NaN
ln_fishsel_devs.551	1	−0.0171	NaN
ln_fishsel_devs.552	1	0.0089	NaN
ln_fishsel_devs.553	1	−0.0173	NaN
ln_fishsel_devs.554	1	−0.1039	NaN
ln_fishsel_devs.555	1	−0.0853	NaN
ln_fishsel_devs.556	1	−0.2467	NaN
ln_fishsel_devs.557	1	−0.3043	NaN
ln_fishsel_devs.558	1	−0.2074	NaN
ln_fishsel_devs.559	1	0.0065	NaN
ln_fishsel_devs.560	1	0.2309	NaN
ln_fishsel_devs.561	1	0.1614	NaN
ln_fishsel_devs.562	1	0.2309	NaN
ln_fishsel_devs.563	1	0.1673	NaN
ln_fishsel_devs.564	1	0.0595	NaN
ln_fishsel_devs.565	1	0.0197	NaN
ln_fishsel_devs.566	1	0.0067	NaN
ln_fishsel_devs.567	1	0.0017	NaN
ln_fishsel_devs.568	1	−0.0131	NaN
ln_fishsel_devs.569	1	−0.0646	NaN
ln_fishsel_devs.570	1	−0.0748	NaN
ln_fishsel_devs.571	1	−0.1684	NaN
ln_fishsel_devs.572	1	−0.2035	NaN
ln_fishsel_devs.573	1	−0.1888	NaN
ln_fishsel_devs.574	1	−0.0933	NaN
ln_fishsel_devs.575	1	0.2065	NaN
ln_fishsel_devs.576	1	0.0591	NaN
ln_fishsel_devs.577	1	0.1006	NaN
ln_fishsel_devs.578	1	0.1884	NaN
ln_fishsel_devs.579	1	0.1872	NaN
ln_fishsel_devs.580	1	0.0615	NaN
ln_fishsel_devs.581	1	0.0095	NaN
ln_fishsel_devs.582	1	−0.0165	NaN
ln_fishsel_devs.583	1	−0.0260	NaN
ln_fishsel_devs.584	1	−0.0663	NaN
ln_fishsel_devs.585	1	−0.0690	NaN
ln_fishsel_devs.586	1	−0.1512	NaN
ln_fishsel_devs.587	1	0.2545	NaN
ln_fishsel_devs.588	1	−0.1451	NaN
ln_fishsel_devs.589	1	−0.0620	NaN
ln_fishsel_devs.590	1	0.1098	NaN
ln_fishsel_devs.591	1	0.0075	NaN
ln_fishsel_devs.592	1	−0.0384	NaN
ln_fishsel_devs.593	1	0.0193	NaN
ln_fishsel_devs.594	1	0.0686	NaN
ln_fishsel_devs.595	1	0.0600	NaN
ln_fishsel_devs.596	1	0.0380	NaN
ln_fishsel_devs.597	1	−0.0069	NaN
ln_fishsel_devs.598	1	−0.0464	NaN
ln_fishsel_devs.599	1	−0.0605	NaN
ln_fishsel_devs.600	1	−0.0040	NaN
ln_fishsel_devs.601	1	−0.2255	NaN
ln_fishsel_devs.602	1	−0.1882	NaN
ln_fishsel_devs.603	1	0.3417	NaN
ln_fishsel_devs.604	1	0.0448	NaN
ln_fishsel_devs.605	1	0.0357	NaN
ln_fishsel_devs.606	1	0.0524	NaN
ln_fishsel_devs.607	1	−0.0387	NaN
ln_fishsel_devs.608	1	−0.0864	NaN
ln_fishsel_devs.609	1	−0.0305	NaN
ln_fishsel_devs.610	1	0.0372	NaN
ln_fishsel_devs.611	1	0.0785	NaN
ln_fishsel_devs.612	1	0.0193	NaN
ln_fishsel_devs.613	1	−0.0186	NaN
ln_fishsel_devs.614	1	−0.0494	NaN
ln_fishsel_devs.615	1	0.0287	NaN
ln_fishsel_devs.616	1	−0.1401	NaN
ln_fishsel_devs.617	1	−0.2375	NaN
ln_fishsel_devs.618	1	0.0868	NaN
ln_fishsel_devs.619	1	0.3095	NaN
ln_fishsel_devs.620	1	0.2868	NaN
ln_fishsel_devs.621	1	0.0046	NaN
ln_fishsel_devs.622	1	−0.1016	NaN
ln_fishsel_devs.623	1	−0.1226	NaN
ln_fishsel_devs.624	1	−0.0739	NaN
ln_fishsel_devs.625	1	−0.0038	NaN
ln_fishsel_devs.626	1	0.0268	NaN
ln_fishsel_devs.627	1	−0.0048	NaN
ln_fishsel_devs.628	1	−0.0227	NaN
ln_fishsel_devs.629	1	−0.0735	NaN
ln_fishsel_devs.630	1	−0.0209	NaN
ln_fishsel_devs.631	1	−0.0104	NaN
ln_fishsel_devs.632	1	0.0922	NaN
ln_fishsel_devs.633	1	0.0411	NaN
ln_fishsel_devs.634	1	0.1650	NaN
ln_fishsel_devs.635	1	0.1100	NaN
ln_fishsel_devs.636	1	−0.0376	NaN
ln_fishsel_devs.637	1	−0.0981	NaN
ln_fishsel_devs.638	1	−0.1056	NaN
ln_fishsel_devs.639	1	−0.0936	NaN
ln_fishsel_devs.640	1	−0.0324	NaN
ln_fishsel_devs.641	1	0.0119	NaN
ln_fishsel_devs.642	1	0.0141	NaN
ln_fishsel_devs.643	1	−0.0097	NaN
ln_fishsel_devs.644	1	−0.0559	NaN
ln_fishsel_devs.645	1	−0.1110	NaN
ln_fishsel_devs.646	1	−0.0620	NaN
ln_fishsel_devs.647	1	0.1415	NaN
ln_fishsel_devs.648	1	0.0500	NaN
ln_fishsel_devs.649	1	0.0840	NaN
ln_fishsel_devs.650	1	0.3125	NaN
ln_fishsel_devs.651	1	−0.1220	NaN
ln_fishsel_devs.652	1	−0.1915	NaN
ln_fishsel_devs.653	1	−0.1212	NaN
ln_fishsel_devs.654	1	−0.0503	NaN
ln_fishsel_devs.655	1	−0.0087	NaN
ln_fishsel_devs.656	1	0.0254	NaN
ln_fishsel_devs.657	1	0.0250	NaN
ln_fishsel_devs.658	1	0.0069	NaN
ln_fishsel_devs.659	1	−0.0087	NaN
ln_fishsel_devs.660	1	−0.1375	NaN
ln_fishsel_devs.661	1	−0.2603	NaN
ln_fishsel_devs.662	1	−0.0961	NaN
ln_fishsel_devs.663	1	0.0417	NaN
ln_fishsel_devs.664	1	0.0115	NaN
ln_fishsel_devs.665	1	0.3170	NaN
ln_fishsel_devs.666	1	0.0907	NaN
ln_fishsel_devs.667	1	−0.1788	NaN
ln_fishsel_devs.668	1	−0.0904	NaN
ln_fishsel_devs.669	1	−0.0230	NaN
ln_fishsel_devs.670	1	0.0658	NaN
ln_fishsel_devs.671	1	0.0971	NaN
ln_fishsel_devs.672	1	0.0467	NaN
ln_fishsel_devs.673	1	0.0195	NaN
ln_fishsel_devs.674	1	0.0572	NaN
ln_fishsel_devs.675	1	−0.2960	NaN
ln_fishsel_devs.676	1	−0.2673	NaN
ln_fishsel_devs.677	1	−0.0093	NaN
ln_fishsel_devs.678	1	0.2219	NaN
ln_fishsel_devs.679	1	0.0270	NaN
ln_fishsel_devs.680	1	0.1457	NaN
ln_fishsel_devs.681	1	0.0208	NaN
ln_fishsel_devs.682	1	−0.0969	NaN
ln_fishsel_devs.683	1	−0.1392	NaN
ln_fishsel_devs.684	1	0.0350	NaN
ln_fishsel_devs.685	1	0.1175	NaN
ln_fishsel_devs.686	1	0.0881	NaN
ln_fishsel_devs.687	1	0.0474	NaN
ln_fishsel_devs.688	1	0.0191	NaN
ln_fishsel_devs.689	1	0.0335	NaN
ln_fishsel_devs.690	1	−0.1792	NaN
ln_fishsel_devs.691	1	−0.4244	NaN
ln_fishsel_devs.692	1	−0.1850	NaN
ln_fishsel_devs.693	1	0.4614	NaN
ln_fishsel_devs.694	1	0.1989	NaN
ln_fishsel_devs.695	1	0.0387	NaN
ln_fishsel_devs.696	1	−0.0684	NaN
ln_fishsel_devs.697	1	−0.0519	NaN
ln_fishsel_devs.698	1	−0.0261	NaN
ln_fishsel_devs.699	1	−0.0090	NaN
ln_fishsel_devs.700	1	0.0575	NaN
ln_fishsel_devs.701	1	0.0694	NaN
ln_fishsel_devs.702	1	0.0441	NaN
ln_fishsel_devs.703	1	0.0207	NaN
ln_fishsel_devs.704	1	−0.0101	NaN
ln_fishsel_devs.705	1	−0.0927	NaN
ln_fishsel_devs.706	1	−0.3745	NaN
ln_fishsel_devs.707	1	−0.4039	NaN
ln_fishsel_devs.708	1	−0.0759	NaN
ln_fishsel_devs.709	1	0.4065	NaN
ln_fishsel_devs.710	1	0.3519	NaN
ln_fishsel_devs.711	1	0.0523	NaN
ln_fishsel_devs.712	1	−0.0381	NaN
ln_fishsel_devs.713	1	−0.0127	NaN
ln_fishsel_devs.714	1	0.0621	NaN
ln_fishsel_devs.715	1	0.0696	NaN
ln_fishsel_devs.716	1	0.0377	NaN
ln_fishsel_devs.717	1	0.0146	NaN
ln_fishsel_devs.718	1	−0.0013	NaN
ln_fishsel_devs.719	1	−0.0509	NaN
ln_fishsel_devs.720	1	−0.0514	NaN
ln_fishsel_devs.721	1	−0.1956	NaN
ln_fishsel_devs.722	1	−0.2474	NaN
ln_fishsel_devs.723	1	0.1911	NaN
ln_fishsel_devs.724	1	0.0276	NaN
ln_fishsel_devs.725	1	0.1475	NaN
ln_fishsel_devs.726	1	0.0260	NaN
ln_fishsel_devs.727	1	−0.0142	NaN
ln_fishsel_devs.728	1	−0.0273	NaN
ln_fishsel_devs.729	1	−0.0132	NaN
ln_fishsel_devs.730	1	0.0345	NaN
ln_fishsel_devs.731	1	0.0531	NaN
ln_fishsel_devs.732	1	0.0369	NaN
ln_fishsel_devs.733	1	0.0090	NaN
ln_fishsel_devs.734	1	−0.0334	NaN
ln_fishsel_devs.735	1	−0.1694	NaN
ln_fishsel_devs.736	1	−0.2174	NaN
ln_fishsel_devs.737	1	−0.2323	NaN
ln_fishsel_devs.738	1	0.0957	NaN
ln_fishsel_devs.739	1	0.1827	NaN
ln_fishsel_devs.740	1	0.1492	NaN
ln_fishsel_devs.741	1	−0.1249	NaN
ln_fishsel_devs.742	1	−0.0294	NaN
ln_fishsel_devs.743	1	0.0107	NaN
ln_fishsel_devs.744	1	0.0399	NaN
ln_fishsel_devs.745	1	0.0753	NaN
ln_fishsel_devs.746	1	0.0776	NaN
ln_fishsel_devs.747	1	0.0548	NaN
ln_fishsel_devs.748	1	0.0195	NaN
ln_fishsel_devs.749	1	0.0002	NaN
ln_fishsel_devs.750	1	−0.2131	NaN
ln_fishsel_devs.751	1	−0.1876	NaN
ln_fishsel_devs.752	1	−0.0167	NaN
ln_fishsel_devs.753	1	−0.1125	NaN
ln_fishsel_devs.754	1	0.0859	NaN
ln_fishsel_devs.755	1	0.3660	NaN
ln_fishsel_devs.756	1	0.1894	NaN
ln_fishsel_devs.757	1	−0.1051	NaN
ln_fishsel_devs.758	1	−0.1216	NaN
ln_fishsel_devs.759	1	−0.0306	NaN
ln_fishsel_devs.760	1	0.0229	NaN
ln_fishsel_devs.761	1	0.0380	NaN
ln_fishsel_devs.762	1	0.0266	NaN
ln_fishsel_devs.763	1	0.0033	NaN
ln_fishsel_devs.764	1	−0.0189	NaN
ln_fishsel_devs.765	1	−0.1973	NaN
ln_fishsel_devs.766	1	−0.3501	NaN
ln_fishsel_devs.767	1	0.7543	NaN
ln_fishsel_devs.768	1	0.3451	NaN
ln_fishsel_devs.769	1	−0.2563	NaN
ln_fishsel_devs.770	1	0.1542	NaN
ln_fishsel_devs.771	1	0.1240	NaN
ln_fishsel_devs.772	1	−0.1049	NaN
ln_fishsel_devs.773	1	−0.2800	NaN
ln_fishsel_devs.774	1	−0.1420	NaN
ln_fishsel_devs.775	1	−0.0303	NaN
ln_fishsel_devs.776	1	0.0100	NaN
ln_fishsel_devs.777	1	0.0101	NaN
ln_fishsel_devs.778	1	−0.0187	NaN
ln_fishsel_devs.779	1	−0.0900	NaN
ln_fishsel_devs.780	1	−0.0420	NaN
ln_fishsel_devs.781	1	−0.3795	NaN
ln_fishsel_devs.782	1	−0.3802	NaN
ln_fishsel_devs.783	1	1.0038	NaN
ln_fishsel_devs.784	1	0.0282	NaN
ln_fishsel_devs.785	1	−0.0201	NaN
ln_fishsel_devs.786	1	0.0775	NaN
ln_fishsel_devs.787	1	0.0709	NaN
ln_fishsel_devs.788	1	−0.1208	NaN
ln_fishsel_devs.789	1	−0.1687	NaN
ln_fishsel_devs.790	1	−0.0628	NaN
ln_fishsel_devs.791	1	−0.0013	NaN
ln_fishsel_devs.792	1	0.0076	NaN
ln_fishsel_devs.793	1	−0.0174	NaN
ln_fishsel_devs.794	1	−0.0816	NaN
ln_fishsel_devs.795	1	0.0247	NaN
ln_fishsel_devs.796	1	−0.2576	NaN
ln_fishsel_devs.797	1	−0.4674	NaN
ln_fishsel_devs.798	1	0.0325	NaN
ln_fishsel_devs.799	1	0.4147	NaN
ln_fishsel_devs.800	1	0.2222	NaN
ln_fishsel_devs.801	1	0.1384	NaN
ln_fishsel_devs.802	1	0.1245	NaN
ln_fishsel_devs.803	1	−0.0375	NaN
ln_fishsel_devs.804	1	−0.1110	NaN
ln_fishsel_devs.805	1	−0.0818	NaN
ln_fishsel_devs.806	1	−0.0197	NaN
ln_fishsel_devs.807	1	0.0022	NaN
ln_fishsel_devs.808	1	−0.0118	NaN
ln_fishsel_devs.809	1	−0.0678	NaN
ln_fishsel_devs.810	1	−0.0161	NaN
ln_fishsel_devs.811	1	−0.1813	NaN
ln_fishsel_devs.812	1	−0.3693	NaN
ln_fishsel_devs.813	1	−0.4083	NaN
ln_fishsel_devs.814	1	0.7007	NaN
ln_fishsel_devs.815	1	0.2050	NaN
ln_fishsel_devs.816	1	0.0927	NaN
ln_fishsel_devs.817	1	0.1448	NaN
ln_fishsel_devs.818	1	0.0811	NaN
ln_fishsel_devs.819	1	−0.1192	NaN
ln_fishsel_devs.820	1	−0.0855	NaN
ln_fishsel_devs.821	1	−0.0620	NaN
ln_fishsel_devs.822	1	−0.0211	NaN
ln_fishsel_devs.823	1	−0.0140	NaN
ln_fishsel_devs.824	1	−0.0510	NaN
ln_fishsel_devs.825	1	−0.1300	NaN
ln_fishsel_devs.826	1	0.0014	NaN
ln_fishsel_devs.827	1	−0.2654	NaN
ln_fishsel_devs.828	1	−0.5229	NaN
ln_fishsel_devs.829	1	−0.3626	NaN
ln_fishsel_devs.830	1	0.7720	NaN
ln_fishsel_devs.831	1	0.3357	NaN
ln_fishsel_devs.832	1	0.0047	NaN
ln_fishsel_devs.833	1	0.1906	NaN
ln_fishsel_devs.834	1	0.1679	NaN
ln_fishsel_devs.835	1	−0.0634	NaN
ln_fishsel_devs.836	1	−0.0726	NaN
ln_fishsel_devs.837	1	−0.0537	NaN
ln_fishsel_devs.838	1	−0.0355	NaN
ln_fishsel_devs.839	1	−0.0616	NaN
ln_fishsel_devs.840	1	0.0430	NaN
ln_fishsel_devs.841	1	0.5051	NaN
ln_fishsel_devs.842	1	0.1766	NaN
ln_fishsel_devs.843	1	−0.2580	NaN
ln_fishsel_devs.844	1	−0.2366	NaN
ln_fishsel_devs.845	1	0.5415	NaN
ln_fishsel_devs.846	1	0.1932	NaN
ln_fishsel_devs.847	1	−0.5463	NaN
ln_fishsel_devs.848	1	−0.1971	NaN
ln_fishsel_devs.849	1	0.0549	NaN
ln_fishsel_devs.850	1	−0.0024	NaN
ln_fishsel_devs.851	1	−0.1119	NaN
ln_fishsel_devs.852	1	−0.0736	NaN
ln_fishsel_devs.853	1	−0.0652	NaN
ln_fishsel_devs.854	1	−0.0888	NaN
ln_fishsel_devs.855	1	0.0498	NaN
ln_fishsel_devs.856	1	0.5810	NaN
ln_fishsel_devs.857	1	0.8916	NaN
ln_fishsel_devs.858	1	−0.2428	NaN
ln_fishsel_devs.859	1	−0.4127	NaN
ln_fishsel_devs.860	1	−0.0537	NaN
ln_fishsel_devs.861	1	0.3387	NaN
ln_fishsel_devs.862	1	−0.0528	NaN
ln_fishsel_devs.863	1	−0.5114	NaN
ln_fishsel_devs.864	1	−0.2277	NaN
ln_fishsel_devs.865	1	−0.0549	NaN
ln_fishsel_devs.866	1	−0.0644	NaN
ln_fishsel_devs.867	1	−0.1110	NaN
ln_fishsel_devs.868	1	−0.0723	NaN
ln_fishsel_devs.869	1	−0.1172	NaN
ln_fishsel_devs.870	1	0.0721	NaN
ln_fishsel_devs.871	1	0.5276	NaN
ln_fishsel_devs.872	1	0.4859	NaN
ln_fishsel_devs.873	1	0.0799	NaN
ln_fishsel_devs.874	1	−0.2740	NaN
ln_fishsel_devs.875	1	−0.2423	NaN
ln_fishsel_devs.876	1	0.1093	NaN
ln_fishsel_devs.877	1	0.2601	NaN
ln_fishsel_devs.878	1	−0.2868	NaN
ln_fishsel_devs.879	1	−0.4220	NaN
ln_fishsel_devs.880	1	−0.1396	NaN
ln_fishsel_devs.881	1	−0.0305	NaN
ln_fishsel_devs.882	1	−0.0319	NaN
ln_fishsel_devs.883	1	−0.0729	NaN
ln_fishsel_devs.884	1	−0.1095	NaN
ln_fishsel_devs.885	1	0.0443	NaN
ln_fishsel_devs.886	1	0.1525	NaN
ln_fishsel_devs.887	1	0.1285	NaN
ln_fishsel_devs.888	1	0.0459	NaN
ln_fishsel_devs.889	1	0.1678	NaN
ln_fishsel_devs.890	1	−0.1213	NaN
ln_fishsel_devs.891	1	−0.1768	NaN
ln_fishsel_devs.892	1	0.0449	NaN
ln_fishsel_devs.893	1	0.0106	NaN
ln_fishsel_devs.894	1	−0.1514	NaN
ln_fishsel_devs.895	1	−0.1255	NaN
ln_fishsel_devs.896	1	−0.0169	NaN
ln_fishsel_devs.897	1	0.0138	NaN
ln_fishsel_devs.898	1	−0.0195	NaN
ln_fishsel_devs.899	1	−0.0790	NaN
ln_fishsel_devs.900	1	0.0476	NaN
ln_fishsel_devs.901	1	−0.0467	NaN
ln_fishsel_devs.902	1	−0.0509	NaN
ln_fishsel_devs.903	1	−0.0177	NaN
ln_fishsel_devs.904	1	0.0161	NaN
ln_fishsel_devs.905	1	0.0030	NaN
ln_fishsel_devs.906	1	−0.0505	NaN
ln_fishsel_devs.907	1	−0.0286	NaN
ln_fishsel_devs.908	1	0.0213	NaN
ln_fishsel_devs.909	1	0.0142	NaN
ln_fishsel_devs.910	1	−0.0038	NaN
ln_fishsel_devs.911	1	0.0068	NaN
ln_fishsel_devs.912	1	0.0140	NaN
ln_fishsel_devs.913	1	0.0062	NaN
ln_fishsel_devs.914	1	−0.0155	NaN
ln_srv_fixed_sel_pars	1	0.3271	NaN
ln_srv_fixed_sel_pars.1	1	0.0007	NaN
ln_srv_q	1	−1.5015	NaN
ln_srv_q.1	1	−2.3054	NaN
ln_srv_q.2	1	−9.6732	NaN
ln_srvsel_devs	1	0.0000	NaN
ln_srvsel_devs.1	1	0.0000	NaN
ln_srvsel_devs.2	1	0.0000	NaN
ln_srvsel_devs.3	1	0.0000	NaN
ln_srvsel_devs.4	1	0.0000	NaN
ln_srvsel_devs.5	1	0.0000	NaN
ln_srvsel_devs.6	1	0.0000	NaN
ln_srvsel_devs.7	1	0.0000	NaN
ln_srvsel_devs.8	1	0.0000	NaN
ln_srvsel_devs.9	1	0.0000	NaN
ln_srvsel_devs.10	1	0.0000	NaN
ln_srvsel_devs.11	1	0.0000	NaN
ln_srvsel_devs.12	1	0.0000	NaN
ln_srvsel_devs.13	1	0.0000	NaN
ln_srvsel_devs.14	1	0.0000	NaN
ln_srvsel_devs.15	1	0.0000	NaN
ln_srvsel_devs.16	1	0.0000	NaN
ln_srvsel_devs.17	1	0.0000	NaN
ln_srvsel_devs.18	1	0.0000	NaN
ln_srvsel_devs.19	1	0.0000	NaN
ln_srvsel_devs.20	1	0.0000	NaN
ln_srvsel_devs.21	1	0.0000	NaN
ln_srvsel_devs.22	1	0.0000	NaN
ln_srvsel_devs.23	1	0.0000	NaN
ln_srvsel_devs.24	1	0.0000	NaN
ln_srvsel_devs.25	1	0.0000	NaN
ln_srvsel_devs.26	1	0.0000	NaN
ln_srvsel_devs.27	1	0.0000	NaN
ln_srvsel_devs.28	1	0.0000	NaN
ln_srvsel_devs.29	1	0.0000	NaN
ln_srvsel_devs.30	1	0.0000	NaN
ln_srvsel_devs.31	1	0.0000	NaN
ln_srvsel_devs.32	1	0.0000	NaN
ln_srvsel_devs.33	1	0.0000	NaN
ln_srvsel_devs.34	1	−0.0009	NaN
ln_srvsel_devs.35	1	−0.0005	NaN
ln_srvsel_devs.36	1	−0.0844	NaN
ln_srvsel_devs.37	1	−0.0468	NaN
ln_srvsel_devs.38	1	0.0530	NaN
ln_srvsel_devs.39	1	0.0096	NaN
ln_srvsel_devs.40	1	0.1236	NaN
ln_srvsel_devs.41	1	0.0539	NaN
ln_srvsel_devs.42	1	−0.0532	NaN
ln_srvsel_devs.43	1	−0.0552	NaN
ln_srvsel_devs.44	1	−0.0179	NaN
ln_srvsel_devs.45	1	−0.0921	NaN
ln_srvsel_devs.46	1	0.0430	NaN
ln_srvsel_devs.47	1	0.0117	NaN
ln_srvsel_devs.48	1	−0.0313	NaN
ln_srvsel_devs.49	1	−0.0227	NaN
ln_srvsel_devs.50	1	−0.0095	NaN
ln_srvsel_devs.51	1	0.0058	NaN
ln_srvsel_devs.52	1	0.1175	NaN
ln_srvsel_devs.53	1	0.0850	NaN
ln_srvsel_devs.54	1	0.1106	NaN
ln_srvsel_devs.55	1	−0.0078	NaN
ln_srvsel_devs.56	1	0.1044	NaN
ln_srvsel_devs.57	1	−0.0105	NaN
ln_srvsel_devs.58	1	0.0733	NaN
ln_srvsel_devs.59	1	0.0130	NaN
ln_srvsel_devs.60	1	0.0939	NaN
ln_srvsel_devs.61	1	0.0147	NaN
ln_srvsel_devs.62	1	0.1482	NaN
ln_srvsel_devs.63	1	−0.0159	NaN
ln_srvsel_devs.64	1	−0.0357	NaN
ln_srvsel_devs.65	1	−0.2078	NaN
ln_srvsel_devs.66	1	0.0069	NaN
ln_srvsel_devs.67	1	−0.0327	NaN
ln_srvsel_devs.68	1	0.0605	NaN
ln_srvsel_devs.69	1	−0.0053	NaN
ln_srvsel_devs.70	1	0.0473	NaN
ln_srvsel_devs.71	1	−0.0210	NaN
ln_srvsel_devs.72	1	0.1358	NaN
ln_srvsel_devs.73	1	0.0318	NaN
ln_srvsel_devs.74	1	0.0681	NaN
ln_srvsel_devs.75	1	−0.0268	NaN
ln_srvsel_devs.76	1	0.2235	NaN
ln_srvsel_devs.77	1	0.0282	NaN
ln_srvsel_devs.78	1	0.3225	NaN
ln_srvsel_devs.79	1	0.1153	NaN
ln_srvsel_devs.80	1	0.2607	NaN
ln_srvsel_devs.81	1	0.0358	NaN
ln_srvsel_devs.82	1	0.1986	NaN
ln_srvsel_devs.83	1	0.0263	NaN
ln_srvsel_devs.84	1	0.0868	NaN
ln_srvsel_devs.85	1	−0.0866	NaN
ln_srvsel_devs.86	1	0.0904	NaN
ln_srvsel_devs.87	1	0.0108	NaN
ln_srvsel_devs.88	1	0.3150	NaN
ln_srvsel_devs.89	1	0.1381	NaN
ln_srvsel_devs.90	1	0.2527	NaN
ln_srvsel_devs.91	1	0.0849	NaN
ln_srvsel_devs.92	1	0.2188	NaN
ln_srvsel_devs.93	1	0.2243	NaN
ln_srvsel_devs.94	1	0.2796	NaN
ln_srvsel_devs.95	1	−0.0221	NaN
ln_srvsel_devs.96	1	0.0241	NaN
ln_srvsel_devs.97	1	−0.0359	NaN
ln_srvsel_devs.98	1	0.1174	NaN
ln_srvsel_devs.99	1	0.0702	NaN
ln_srvsel_devs.100	1	0.2877	NaN
ln_srvsel_devs.101	1	0.0935	NaN
ln_srvsel_devs.102	1	0.2244	NaN
ln_srvsel_devs.103	1	0.0577	NaN
ln_srvsel_devs.104	1	0.2108	NaN
ln_srvsel_devs.105	1	0.0266	NaN
ln_srvsel_devs.106	1	0.1715	NaN
ln_srvsel_devs.107	1	−0.0534	NaN
ln_srvsel_devs.108	1	−0.0756	NaN
ln_srvsel_devs.109	1	−0.0905	NaN
ln_srvsel_devs.110	1	0.1366	NaN
ln_srvsel_devs.111	1	0.1105	NaN
ln_srvsel_devs.112	1	0.0029	NaN
ln_srvsel_devs.113	1	0.0006	NaN
ln_srvsel_devs.114	1	0.1240	NaN
ln_srvsel_devs.115	1	−0.0554	NaN
ln_srvsel_devs.116	1	0.1059	NaN
ln_srvsel_devs.117	1	−0.0262	NaN
ln_srvsel_devs.118	1	0.0156	NaN
ln_srvsel_devs.119	1	−0.0504	NaN
ln_srvsel_devs.120	1	0.0792	NaN
ln_srvsel_devs.121	1	0.0469	NaN
ln_srvsel_devs.122	1	0.0010	NaN
ln_srvsel_devs.123	1	−0.0012	NaN
ln_srvsel_devs.124	1	−0.0002	NaN
ln_srvsel_devs.125	1	0.0002	NaN
ln_srvsel_devs.126	1	0.0001	NaN
ln_srvsel_devs.127	1	0.0001	NaN
ln_srvsel_devs.128	1	0.0000	NaN
ln_srvsel_devs.129	1	0.0000	NaN
ln_srvsel_devs.130	1	0.0000	NaN
ln_srvsel_devs.131	1	0.0000	NaN
ln_srvsel_devs.132	1	0.0000	NaN
ln_srvsel_devs.133	1	0.0000	NaN
ln_srvsel_devs.134	1	0.0000	NaN
ln_srvsel_devs.135	1	0.0000	NaN
ln_srvsel_devs.136	1	0.0000	NaN
ln_srvsel_devs.137	1	0.0139	NaN
ln_srvsel_devs.138	1	−0.0163	NaN
ln_srvsel_devs.139	1	−0.0035	NaN
ln_srvsel_devs.140	1	0.0023	NaN
ln_srvsel_devs.141	1	0.0021	NaN
ln_srvsel_devs.142	1	0.0009	NaN
ln_srvsel_devs.143	1	0.0003	NaN
ln_srvsel_devs.144	1	0.0001	NaN
ln_srvsel_devs.145	1	0.0000	NaN
ln_srvsel_devs.146	1	0.0000	NaN
ln_srvsel_devs.147	1	0.0000	NaN
ln_srvsel_devs.148	1	0.0000	NaN
ln_srvsel_devs.149	1	0.0000	NaN
ln_srvsel_devs.150	1	0.0000	NaN
ln_srvsel_devs.151	1	0.0000	NaN
ln_srvsel_devs.152	1	0.0158	NaN
ln_srvsel_devs.153	1	−0.0183	NaN
ln_srvsel_devs.154	1	−0.0043	NaN
ln_srvsel_devs.155	1	0.0026	NaN
ln_srvsel_devs.156	1	0.0024	NaN
ln_srvsel_devs.157	1	0.0011	NaN
ln_srvsel_devs.158	1	0.0004	NaN
ln_srvsel_devs.159	1	0.0001	NaN
ln_srvsel_devs.160	1	0.0000	NaN
ln_srvsel_devs.161	1	0.0000	NaN
ln_srvsel_devs.162	1	0.0000	NaN
ln_srvsel_devs.163	1	0.0000	NaN
ln_srvsel_devs.164	1	0.0000	NaN
ln_srvsel_devs.165	1	0.0000	NaN
ln_srvsel_devs.166	1	0.0000	NaN
ln_srvsel_devs.167	1	0.0155	NaN
ln_srvsel_devs.168	1	−0.0179	NaN
ln_srvsel_devs.169	1	−0.0042	NaN
ln_srvsel_devs.170	1	0.0025	NaN
ln_srvsel_devs.171	1	0.0024	NaN
ln_srvsel_devs.172	1	0.0011	NaN
ln_srvsel_devs.173	1	0.0004	NaN
ln_srvsel_devs.174	1	0.0001	NaN
ln_srvsel_devs.175	1	0.0000	NaN
ln_srvsel_devs.176	1	0.0000	NaN
ln_srvsel_devs.177	1	0.0000	NaN
ln_srvsel_devs.178	1	0.0000	NaN
ln_srvsel_devs.179	1	0.0000	NaN
ln_srvsel_devs.180	1	0.0000	NaN
ln_srvsel_devs.181	1	0.0000	NaN
ln_srvsel_devs.182	1	0.0154	NaN
ln_srvsel_devs.183	1	−0.0178	NaN
ln_srvsel_devs.184	1	−0.0041	NaN
ln_srvsel_devs.185	1	0.0025	NaN
ln_srvsel_devs.186	1	0.0023	NaN
ln_srvsel_devs.187	1	0.0011	NaN
ln_srvsel_devs.188	1	0.0004	NaN
ln_srvsel_devs.189	1	0.0001	NaN
ln_srvsel_devs.190	1	0.0000	NaN
ln_srvsel_devs.191	1	0.0000	NaN
ln_srvsel_devs.192	1	0.0000	NaN
ln_srvsel_devs.193	1	0.0000	NaN
ln_srvsel_devs.194	1	0.0000	NaN
ln_srvsel_devs.195	1	0.0000	NaN
ln_srvsel_devs.196	1	0.0000	NaN
ln_srvsel_devs.197	1	0.0154	NaN
ln_srvsel_devs.198	1	−0.0178	NaN
ln_srvsel_devs.199	1	−0.0041	NaN
ln_srvsel_devs.200	1	0.0025	NaN
ln_srvsel_devs.201	1	0.0023	NaN
ln_srvsel_devs.202	1	0.0011	NaN
ln_srvsel_devs.203	1	0.0004	NaN
ln_srvsel_devs.204	1	0.0001	NaN
ln_srvsel_devs.205	1	0.0000	NaN
ln_srvsel_devs.206	1	0.0000	NaN
ln_srvsel_devs.207	1	0.0000	NaN
ln_srvsel_devs.208	1	0.0000	NaN
ln_srvsel_devs.209	1	0.0000	NaN
ln_srvsel_devs.210	1	0.0000	NaN
ln_srvsel_devs.211	1	0.0000	NaN
ln_srvsel_devs.212	1	0.0154	NaN
ln_srvsel_devs.213	1	−0.0178	NaN
ln_srvsel_devs.214	1	−0.0041	NaN
ln_srvsel_devs.215	1	0.0025	NaN
ln_srvsel_devs.216	1	0.0023	NaN
ln_srvsel_devs.217	1	0.0011	NaN
ln_srvsel_devs.218	1	0.0004	NaN
ln_srvsel_devs.219	1	0.0001	NaN
ln_srvsel_devs.220	1	0.0000	NaN
ln_srvsel_devs.221	1	0.0000	NaN
ln_srvsel_devs.222	1	0.0000	NaN
ln_srvsel_devs.223	1	0.0000	NaN
ln_srvsel_devs.224	1	0.0000	NaN
ln_srvsel_devs.225	1	0.0000	NaN
ln_srvsel_devs.226	1	0.0000	NaN
ln_srvsel_devs.227	1	0.0154	NaN
ln_srvsel_devs.228	1	−0.0178	NaN
ln_srvsel_devs.229	1	−0.0041	NaN
ln_srvsel_devs.230	1	0.0025	NaN
ln_srvsel_devs.231	1	0.0023	NaN
ln_srvsel_devs.232	1	0.0011	NaN
ln_srvsel_devs.233	1	0.0004	NaN
ln_srvsel_devs.234	1	0.0001	NaN
ln_srvsel_devs.235	1	0.0000	NaN
ln_srvsel_devs.236	1	0.0000	NaN
ln_srvsel_devs.237	1	0.0000	NaN
ln_srvsel_devs.238	1	0.0000	NaN
ln_srvsel_devs.239	1	0.0000	NaN
ln_srvsel_devs.240	1	0.0000	NaN
ln_srvsel_devs.241	1	0.0000	NaN
ln_srvsel_devs.242	1	0.0154	NaN
ln_srvsel_devs.243	1	−0.0178	NaN
ln_srvsel_devs.244	1	−0.0041	NaN
ln_srvsel_devs.245	1	0.0025	NaN
ln_srvsel_devs.246	1	0.0023	NaN
ln_srvsel_devs.247	1	0.0011	NaN
ln_srvsel_devs.248	1	0.0004	NaN
ln_srvsel_devs.249	1	0.0001	NaN
ln_srvsel_devs.250	1	0.0000	NaN
ln_srvsel_devs.251	1	0.0000	NaN
ln_srvsel_devs.252	1	0.0000	NaN
ln_srvsel_devs.253	1	0.0000	NaN
ln_srvsel_devs.254	1	0.0000	NaN
ln_srvsel_devs.255	1	0.0000	NaN
ln_srvsel_devs.256	1	0.0000	NaN
ln_srvsel_devs.257	1	0.0154	NaN
ln_srvsel_devs.258	1	−0.0178	NaN
ln_srvsel_devs.259	1	−0.0041	NaN
ln_srvsel_devs.260	1	0.0025	NaN
ln_srvsel_devs.261	1	0.0023	NaN
ln_srvsel_devs.262	1	0.0011	NaN
ln_srvsel_devs.263	1	0.0004	NaN
ln_srvsel_devs.264	1	0.0001	NaN
ln_srvsel_devs.265	1	0.0000	NaN
ln_srvsel_devs.266	1	0.0000	NaN
ln_srvsel_devs.267	1	0.0000	NaN
ln_srvsel_devs.268	1	0.0000	NaN
ln_srvsel_devs.269	1	0.0000	NaN
ln_srvsel_devs.270	1	0.0000	NaN
ln_srvsel_devs.271	1	0.0000	NaN
ln_srvsel_devs.272	1	0.0154	NaN
ln_srvsel_devs.273	1	−0.0178	NaN
ln_srvsel_devs.274	1	−0.0041	NaN
ln_srvsel_devs.275	1	0.0025	NaN
ln_srvsel_devs.276	1	0.0023	NaN
ln_srvsel_devs.277	1	0.0011	NaN
ln_srvsel_devs.278	1	0.0004	NaN
ln_srvsel_devs.279	1	0.0001	NaN
ln_srvsel_devs.280	1	0.0000	NaN
ln_srvsel_devs.281	1	0.0000	NaN
ln_srvsel_devs.282	1	0.0000	NaN
ln_srvsel_devs.283	1	0.0000	NaN
ln_srvsel_devs.284	1	0.0000	NaN
ln_srvsel_devs.285	1	0.0000	NaN
ln_srvsel_devs.286	1	0.0000	NaN
ln_srvsel_devs.287	1	0.0154	NaN
ln_srvsel_devs.288	1	−0.0178	NaN
ln_srvsel_devs.289	1	−0.0041	NaN
ln_srvsel_devs.290	1	0.0025	NaN
ln_srvsel_devs.291	1	0.0023	NaN
ln_srvsel_devs.292	1	0.0011	NaN
ln_srvsel_devs.293	1	0.0004	NaN
ln_srvsel_devs.294	1	0.0001	NaN
ln_srvsel_devs.295	1	0.0000	NaN
ln_srvsel_devs.296	1	0.0000	NaN
ln_srvsel_devs.297	1	0.0000	NaN
ln_srvsel_devs.298	1	0.0000	NaN
ln_srvsel_devs.299	1	0.0000	NaN
ln_srvsel_devs.300	1	0.0000	NaN
ln_srvsel_devs.301	1	0.0000	NaN
ln_srvsel_devs.302	1	0.0154	NaN
ln_srvsel_devs.303	1	−0.0178	NaN
ln_srvsel_devs.304	1	−0.0041	NaN
ln_srvsel_devs.305	1	0.0025	NaN
ln_srvsel_devs.306	1	0.0023	NaN
ln_srvsel_devs.307	1	0.0011	NaN
ln_srvsel_devs.308	1	0.0004	NaN
ln_srvsel_devs.309	1	0.0001	NaN
ln_srvsel_devs.310	1	0.0000	NaN
ln_srvsel_devs.311	1	0.0000	NaN
ln_srvsel_devs.312	1	0.0000	NaN
ln_srvsel_devs.313	1	0.0000	NaN
ln_srvsel_devs.314	1	0.0000	NaN
ln_srvsel_devs.315	1	0.0000	NaN
ln_srvsel_devs.316	1	0.0000	NaN
ln_srvsel_devs.317	1	0.0154	NaN
ln_srvsel_devs.318	1	−0.0178	NaN
ln_srvsel_devs.319	1	−0.0041	NaN
ln_srvsel_devs.320	1	0.0025	NaN
ln_srvsel_devs.321	1	0.0023	NaN
ln_srvsel_devs.322	1	0.0011	NaN
ln_srvsel_devs.323	1	0.0004	NaN
ln_srvsel_devs.324	1	0.0001	NaN
ln_srvsel_devs.325	1	0.0000	NaN
ln_srvsel_devs.326	1	0.0000	NaN
ln_srvsel_devs.327	1	0.0000	NaN
ln_srvsel_devs.328	1	0.0000	NaN
ln_srvsel_devs.329	1	0.0000	NaN
ln_srvsel_devs.330	1	0.0000	NaN
ln_srvsel_devs.331	1	0.0000	NaN
ln_srvsel_devs.332	1	0.0154	NaN
ln_srvsel_devs.333	1	−0.0178	NaN
ln_srvsel_devs.334	1	−0.0041	NaN
ln_srvsel_devs.335	1	0.0025	NaN
ln_srvsel_devs.336	1	0.0023	NaN
ln_srvsel_devs.337	1	0.0011	NaN
ln_srvsel_devs.338	1	0.0004	NaN
ln_srvsel_devs.339	1	0.0001	NaN
ln_srvsel_devs.340	1	0.0000	NaN
ln_srvsel_devs.341	1	0.0000	NaN
ln_srvsel_devs.342	1	0.0000	NaN
ln_srvsel_devs.343	1	0.0000	NaN
ln_srvsel_devs.344	1	0.0000	NaN
ln_srvsel_devs.345	1	0.0000	NaN
ln_srvsel_devs.346	1	0.0000	NaN
ln_srvsel_devs.347	1	0.0154	NaN
ln_srvsel_devs.348	1	−0.0178	NaN
ln_srvsel_devs.349	1	−0.0041	NaN
ln_srvsel_devs.350	1	0.0025	NaN
ln_srvsel_devs.351	1	0.0023	NaN
ln_srvsel_devs.352	1	0.0011	NaN
ln_srvsel_devs.353	1	0.0004	NaN
ln_srvsel_devs.354	1	0.0001	NaN
ln_srvsel_devs.355	1	0.0000	NaN
ln_srvsel_devs.356	1	0.0000	NaN
ln_srvsel_devs.357	1	0.0000	NaN
ln_srvsel_devs.358	1	0.0000	NaN
ln_srvsel_devs.359	1	0.0000	NaN
ln_srvsel_devs.360	1	0.0000	NaN
ln_srvsel_devs.361	1	0.0000	NaN
ln_srvsel_devs.362	1	0.0154	NaN
ln_srvsel_devs.363	1	−0.0178	NaN
ln_srvsel_devs.364	1	−0.0041	NaN
ln_srvsel_devs.365	1	0.0025	NaN
ln_srvsel_devs.366	1	0.0023	NaN
ln_srvsel_devs.367	1	0.0011	NaN
ln_srvsel_devs.368	1	0.0004	NaN
ln_srvsel_devs.369	1	0.0001	NaN
ln_srvsel_devs.370	1	0.0000	NaN
ln_srvsel_devs.371	1	0.0000	NaN
ln_srvsel_devs.372	1	0.0000	NaN
ln_srvsel_devs.373	1	0.0000	NaN
ln_srvsel_devs.374	1	0.0000	NaN
ln_srvsel_devs.375	1	0.0000	NaN
ln_srvsel_devs.376	1	0.0000	NaN
ln_srvsel_devs.377	1	0.0154	NaN
ln_srvsel_devs.378	1	−0.0178	NaN
ln_srvsel_devs.379	1	−0.0041	NaN
ln_srvsel_devs.380	1	0.0025	NaN
ln_srvsel_devs.381	1	0.0023	NaN
ln_srvsel_devs.382	1	0.0011	NaN
ln_srvsel_devs.383	1	0.0004	NaN
ln_srvsel_devs.384	1	0.0001	NaN
ln_srvsel_devs.385	1	0.0000	NaN
ln_srvsel_devs.386	1	0.0000	NaN
ln_srvsel_devs.387	1	0.0000	NaN
ln_srvsel_devs.388	1	0.0000	NaN
ln_srvsel_devs.389	1	0.0000	NaN
ln_srvsel_devs.390	1	0.0000	NaN
ln_srvsel_devs.391	1	0.0000	NaN
ln_srvsel_devs.392	1	0.0154	NaN
ln_srvsel_devs.393	1	−0.0178	NaN
ln_srvsel_devs.394	1	−0.0041	NaN
ln_srvsel_devs.395	1	0.0025	NaN
ln_srvsel_devs.396	1	0.0023	NaN
ln_srvsel_devs.397	1	0.0011	NaN
ln_srvsel_devs.398	1	0.0004	NaN
ln_srvsel_devs.399	1	0.0001	NaN
ln_srvsel_devs.400	1	0.0000	NaN
ln_srvsel_devs.401	1	0.0000	NaN
ln_srvsel_devs.402	1	0.0000	NaN
ln_srvsel_devs.403	1	0.0000	NaN
ln_srvsel_devs.404	1	0.0000	NaN
ln_srvsel_devs.405	1	0.0000	NaN
ln_srvsel_devs.406	1	0.0000	NaN
ln_srvsel_devs.407	1	0.0154	NaN
ln_srvsel_devs.408	1	−0.0178	NaN
ln_srvsel_devs.409	1	−0.0041	NaN
ln_srvsel_devs.410	1	0.0025	NaN
ln_srvsel_devs.411	1	0.0023	NaN
ln_srvsel_devs.412	1	0.0011	NaN
ln_srvsel_devs.413	1	0.0004	NaN
ln_srvsel_devs.414	1	0.0001	NaN
ln_srvsel_devs.415	1	0.0000	NaN
ln_srvsel_devs.416	1	0.0000	NaN
ln_srvsel_devs.417	1	0.0000	NaN
ln_srvsel_devs.418	1	0.0000	NaN
ln_srvsel_devs.419	1	0.0000	NaN
ln_srvsel_devs.420	1	0.0000	NaN
ln_srvsel_devs.421	1	0.0000	NaN
ln_srvsel_devs.422	1	0.0154	NaN
ln_srvsel_devs.423	1	−0.0178	NaN
ln_srvsel_devs.424	1	−0.0041	NaN
ln_srvsel_devs.425	1	0.0025	NaN
ln_srvsel_devs.426	1	0.0023	NaN
ln_srvsel_devs.427	1	0.0011	NaN
ln_srvsel_devs.428	1	0.0004	NaN
ln_srvsel_devs.429	1	0.0001	NaN
ln_srvsel_devs.430	1	0.0000	NaN
ln_srvsel_devs.431	1	0.0000	NaN
ln_srvsel_devs.432	1	0.0000	NaN
ln_srvsel_devs.433	1	0.0000	NaN
ln_srvsel_devs.434	1	0.0000	NaN
ln_srvsel_devs.435	1	0.0000	NaN
ln_srvsel_devs.436	1	0.0000	NaN
ln_srvsel_devs.437	1	0.0154	NaN
ln_srvsel_devs.438	1	−0.0178	NaN
ln_srvsel_devs.439	1	−0.0041	NaN
ln_srvsel_devs.440	1	0.0025	NaN
ln_srvsel_devs.441	1	0.0023	NaN
ln_srvsel_devs.442	1	0.0011	NaN
ln_srvsel_devs.443	1	0.0004	NaN
ln_srvsel_devs.444	1	0.0001	NaN
ln_srvsel_devs.445	1	0.0000	NaN
ln_srvsel_devs.446	1	0.0000	NaN
ln_srvsel_devs.447	1	0.0000	NaN
ln_srvsel_devs.448	1	0.0000	NaN
ln_srvsel_devs.449	1	0.0000	NaN
ln_srvsel_devs.450	1	0.0000	NaN
ln_srvsel_devs.451	1	0.0000	NaN
ln_srvsel_devs.452	1	0.0154	NaN
ln_srvsel_devs.453	1	−0.0178	NaN
ln_srvsel_devs.454	1	−0.0041	NaN
ln_srvsel_devs.455	1	0.0025	NaN
ln_srvsel_devs.456	1	0.0023	NaN
ln_srvsel_devs.457	1	0.0011	NaN
ln_srvsel_devs.458	1	0.0004	NaN
ln_srvsel_devs.459	1	0.0001	NaN
ln_srvsel_devs.460	1	0.0000	NaN
ln_srvsel_devs.461	1	0.0000	NaN
ln_srvsel_devs.462	1	0.0000	NaN
ln_srvsel_devs.463	1	0.0000	NaN
ln_srvsel_devs.464	1	0.0000	NaN
ln_srvsel_devs.465	1	0.0000	NaN
ln_srvsel_devs.466	1	0.0000	NaN
ln_srvsel_devs.467	1	0.0154	NaN
ln_srvsel_devs.468	1	−0.0178	NaN
ln_srvsel_devs.469	1	−0.0041	NaN
ln_srvsel_devs.470	1	0.0025	NaN
ln_srvsel_devs.471	1	0.0023	NaN
ln_srvsel_devs.472	1	0.0011	NaN
ln_srvsel_devs.473	1	0.0004	NaN
ln_srvsel_devs.474	1	0.0001	NaN
ln_srvsel_devs.475	1	0.0000	NaN
ln_srvsel_devs.476	1	0.0000	NaN
ln_srvsel_devs.477	1	0.0000	NaN
ln_srvsel_devs.478	1	0.0000	NaN
ln_srvsel_devs.479	1	0.0000	NaN
ln_srvsel_devs.480	1	0.0000	NaN
ln_srvsel_devs.481	1	0.0000	NaN
ln_srvsel_devs.482	1	0.0154	NaN
ln_srvsel_devs.483	1	−0.0178	NaN
ln_srvsel_devs.484	1	−0.0041	NaN
ln_srvsel_devs.485	1	0.0025	NaN
ln_srvsel_devs.486	1	0.0023	NaN
ln_srvsel_devs.487	1	0.0011	NaN
ln_srvsel_devs.488	1	0.0004	NaN
ln_srvsel_devs.489	1	0.0001	NaN
ln_srvsel_devs.490	1	0.0000	NaN
ln_srvsel_devs.491	1	0.0000	NaN
ln_srvsel_devs.492	1	0.0000	NaN
ln_srvsel_devs.493	1	0.0000	NaN
ln_srvsel_devs.494	1	0.0000	NaN
ln_srvsel_devs.495	1	0.0000	NaN
ln_srvsel_devs.496	1	0.0000	NaN
ln_srvsel_devs.497	1	0.0154	NaN
ln_srvsel_devs.498	1	−0.0178	NaN
ln_srvsel_devs.499	1	−0.0041	NaN
ln_srvsel_devs.500	1	0.0025	NaN
ln_srvsel_devs.501	1	0.0023	NaN
ln_srvsel_devs.502	1	0.0011	NaN
ln_srvsel_devs.503	1	0.0004	NaN
ln_srvsel_devs.504	1	0.0001	NaN
ln_srvsel_devs.505	1	0.0000	NaN
ln_srvsel_devs.506	1	0.0000	NaN
ln_srvsel_devs.507	1	0.0000	NaN
ln_srvsel_devs.508	1	0.0000	NaN
ln_srvsel_devs.509	1	0.0000	NaN
ln_srvsel_devs.510	1	0.0000	NaN
ln_srvsel_devs.511	1	0.0000	NaN
ln_srvsel_devs.512	1	0.0154	NaN
ln_srvsel_devs.513	1	−0.0178	NaN
ln_srvsel_devs.514	1	−0.0041	NaN
ln_srvsel_devs.515	1	0.0025	NaN
ln_srvsel_devs.516	1	0.0024	NaN
ln_srvsel_devs.517	1	0.0011	NaN
ln_srvsel_devs.518	1	0.0004	NaN
ln_srvsel_devs.519	1	0.0001	NaN
ln_srvsel_devs.520	1	0.0001	NaN
ln_srvsel_devs.521	1	0.0000	NaN
ln_srvsel_devs.522	1	0.0000	NaN
ln_srvsel_devs.523	1	0.0000	NaN
ln_srvsel_devs.524	1	0.0000	NaN
ln_srvsel_devs.525	1	0.0000	NaN
ln_srvsel_devs.526	1	0.0000	NaN
ln_srvsel_devs.527	1	0.0154	NaN
ln_srvsel_devs.528	1	−0.0181	NaN
ln_srvsel_devs.529	1	−0.0043	NaN
ln_srvsel_devs.530	1	0.0025	NaN
ln_srvsel_devs.531	1	0.0024	NaN
ln_srvsel_devs.532	1	0.0011	NaN
ln_srvsel_devs.533	1	0.0004	NaN
ln_srvsel_devs.534	1	0.0001	NaN
ln_srvsel_devs.535	1	0.0001	NaN
ln_srvsel_devs.536	1	0.0001	NaN
ln_srvsel_devs.537	1	0.0001	NaN
ln_srvsel_devs.538	1	0.0001	NaN
ln_srvsel_devs.539	1	0.0000	NaN
ln_srvsel_devs.540	1	0.0000	NaN
ln_srvsel_devs.541	1	0.0001	NaN
ln_srvsel_devs.542	1	0.0155	NaN
ln_srvsel_devs.543	1	−0.0182	NaN
ln_srvsel_devs.544	1	−0.0042	NaN
ln_srvsel_devs.545	1	0.0024	NaN
ln_srvsel_devs.546	1	0.0024	NaN
ln_srvsel_devs.547	1	0.0011	NaN
ln_srvsel_devs.548	1	0.0004	NaN
ln_srvsel_devs.549	1	0.0001	NaN
ln_srvsel_devs.550	1	0.0001	NaN
ln_srvsel_devs.551	1	0.0001	NaN
ln_srvsel_devs.552	1	0.0000	NaN
ln_srvsel_devs.553	1	0.0001	NaN
ln_srvsel_devs.554	1	0.0000	NaN
ln_srvsel_devs.555	1	0.0000	NaN
ln_srvsel_devs.556	1	0.0001	NaN
ln_srvsel_devs.557	1	0.0154	NaN
ln_srvsel_devs.558	1	−0.0124	NaN
ln_srvsel_devs.559	1	−0.0021	NaN
ln_srvsel_devs.560	1	0.0026	NaN
ln_srvsel_devs.561	1	0.0014	NaN
ln_srvsel_devs.562	1	0.0009	NaN
ln_srvsel_devs.563	1	0.0005	NaN
ln_srvsel_devs.564	1	0.0000	NaN
ln_srvsel_devs.565	1	−0.0008	NaN
ln_srvsel_devs.566	1	−0.0013	NaN
ln_srvsel_devs.567	1	−0.0008	NaN
ln_srvsel_devs.568	1	−0.0010	NaN
ln_srvsel_devs.569	1	−0.0005	NaN
ln_srvsel_devs.570	1	−0.0006	NaN
ln_srvsel_devs.571	1	−0.0012	NaN
ln_srvsel_devs.572	1	0.0123	NaN
ln_srvsel_devs.573	1	0.0118	NaN
ln_srvsel_devs.574	1	0.0025	NaN
ln_srvsel_devs.575	1	0.0047	NaN
ln_srvsel_devs.576	1	−0.0019	NaN
ln_srvsel_devs.577	1	0.0006	NaN
ln_srvsel_devs.578	1	0.0005	NaN
ln_srvsel_devs.579	1	−0.0006	NaN
ln_srvsel_devs.580	1	−0.0040	NaN
ln_srvsel_devs.581	1	−0.0069	NaN
ln_srvsel_devs.582	1	−0.0028	NaN
ln_srvsel_devs.583	1	−0.0053	NaN
ln_srvsel_devs.584	1	−0.0021	NaN
ln_srvsel_devs.585	1	−0.0029	NaN
ln_srvsel_devs.586	1	−0.0060	NaN
ln_srvsel_devs.587	1	0.0118	NaN
ln_srvsel_devs.588	1	−0.0129	NaN
ln_srvsel_devs.589	1	−0.0012	NaN
ln_srvsel_devs.590	1	0.0082	NaN
ln_srvsel_devs.591	1	0.0048	NaN
ln_srvsel_devs.592	1	0.0005	NaN
ln_srvsel_devs.593	1	−0.0016	NaN
ln_srvsel_devs.594	1	−0.0005	NaN
ln_srvsel_devs.595	1	−0.0009	NaN
ln_srvsel_devs.596	1	−0.0014	NaN
ln_srvsel_devs.597	1	−0.0011	NaN
ln_srvsel_devs.598	1	−0.0014	NaN
ln_srvsel_devs.599	1	−0.0008	NaN
ln_srvsel_devs.600	1	−0.0012	NaN
ln_srvsel_devs.601	1	−0.0021	NaN
ln_srvsel_devs.602	1	0.0514	NaN
ln_srvsel_devs.603	1	−0.0177	NaN
ln_srvsel_devs.604	1	−0.0120	NaN
ln_srvsel_devs.605	1	0.0230	NaN
ln_srvsel_devs.606	1	0.0058	NaN
ln_srvsel_devs.607	1	−0.0071	NaN
ln_srvsel_devs.608	1	−0.0170	NaN
ln_srvsel_devs.609	1	−0.0092	NaN
ln_srvsel_devs.610	1	−0.0022	NaN
ln_srvsel_devs.611	1	−0.0005	NaN
ln_srvsel_devs.612	1	−0.0016	NaN
ln_srvsel_devs.613	1	−0.0027	NaN
ln_srvsel_devs.614	1	−0.0015	NaN
ln_srvsel_devs.615	1	−0.0032	NaN
ln_srvsel_devs.616	1	−0.0055	NaN
ln_srvsel_devs.617	1	0.2193	NaN
ln_srvsel_devs.618	1	−0.0138	NaN
ln_srvsel_devs.619	1	−0.0348	NaN
ln_srvsel_devs.620	1	−0.0228	NaN
ln_srvsel_devs.621	1	−0.0369	NaN
ln_srvsel_devs.622	1	−0.0234	NaN
ln_srvsel_devs.623	1	−0.0288	NaN
ln_srvsel_devs.624	1	−0.0350	NaN
ln_srvsel_devs.625	1	−0.0073	NaN
ln_srvsel_devs.626	1	−0.0005	NaN
ln_srvsel_devs.627	1	−0.0008	NaN
ln_srvsel_devs.628	1	−0.0021	NaN
ln_srvsel_devs.629	1	−0.0030	NaN
ln_srvsel_devs.630	1	−0.0021	NaN
ln_srvsel_devs.631	1	−0.0080	NaN
ln_srvsel_devs.632	1	0.0400	NaN
ln_srvsel_devs.633	1	−0.0095	NaN
ln_srvsel_devs.634	1	0.0012	NaN
ln_srvsel_devs.635	1	−0.0002	NaN
ln_srvsel_devs.636	1	−0.0050	NaN
ln_srvsel_devs.637	1	−0.0035	NaN
ln_srvsel_devs.638	1	−0.0005	NaN
ln_srvsel_devs.639	1	−0.0056	NaN
ln_srvsel_devs.640	1	−0.0050	NaN
ln_srvsel_devs.641	1	−0.0046	NaN
ln_srvsel_devs.642	1	−0.0013	NaN
ln_srvsel_devs.643	1	−0.0004	NaN
ln_srvsel_devs.644	1	−0.0005	NaN
ln_srvsel_devs.645	1	−0.0011	NaN
ln_srvsel_devs.646	1	−0.0040	NaN
ln_srvsel_devs.647	1	−0.1162	NaN
ln_srvsel_devs.648	1	0.0075	NaN
ln_srvsel_devs.649	1	0.0686	NaN
ln_srvsel_devs.650	1	0.0425	NaN
ln_srvsel_devs.651	1	0.0146	NaN
ln_srvsel_devs.652	1	0.0038	NaN
ln_srvsel_devs.653	1	0.0308	NaN
ln_srvsel_devs.654	1	0.0129	NaN
ln_srvsel_devs.655	1	−0.0113	NaN
ln_srvsel_devs.656	1	−0.0252	NaN
ln_srvsel_devs.657	1	−0.0084	NaN
ln_srvsel_devs.658	1	−0.0013	NaN
ln_srvsel_devs.659	1	−0.0004	NaN
ln_srvsel_devs.660	1	−0.0032	NaN
ln_srvsel_devs.661	1	−0.0146	NaN
ln_srvsel_devs.662	1	−0.1726	NaN
ln_srvsel_devs.663	1	−0.0128	NaN
ln_srvsel_devs.664	1	0.0538	NaN
ln_srvsel_devs.665	1	0.0915	NaN
ln_srvsel_devs.666	1	0.0281	NaN
ln_srvsel_devs.667	1	0.0048	NaN
ln_srvsel_devs.668	1	0.0146	NaN
ln_srvsel_devs.669	1	0.0388	NaN
ln_srvsel_devs.670	1	0.0051	NaN
ln_srvsel_devs.671	1	−0.0129	NaN
ln_srvsel_devs.672	1	−0.0185	NaN
ln_srvsel_devs.673	1	−0.0038	NaN
ln_srvsel_devs.674	1	−0.0002	NaN
ln_srvsel_devs.675	1	−0.0024	NaN
ln_srvsel_devs.676	1	−0.0135	NaN
ln_srvsel_devs.677	1	−0.0443	NaN
ln_srvsel_devs.678	1	−0.0063	NaN
ln_srvsel_devs.679	1	0.0260	NaN
ln_srvsel_devs.680	1	0.0243	NaN
ln_srvsel_devs.681	1	0.0068	NaN
ln_srvsel_devs.682	1	−0.0005	NaN
ln_srvsel_devs.683	1	0.0011	NaN
ln_srvsel_devs.684	1	0.0063	NaN
ln_srvsel_devs.685	1	0.0020	NaN
ln_srvsel_devs.686	1	−0.0022	NaN
ln_srvsel_devs.687	1	−0.0042	NaN
ln_srvsel_devs.688	1	−0.0026	NaN
ln_srvsel_devs.689	1	−0.0020	NaN
ln_srvsel_devs.690	1	−0.0013	NaN
ln_srvsel_devs.691	1	−0.0032	NaN
ln_srvsel_devs.692	1	−0.1109	NaN
ln_srvsel_devs.693	1	0.0527	NaN
ln_srvsel_devs.694	1	0.0888	NaN
ln_srvsel_devs.695	1	0.0246	NaN
ln_srvsel_devs.696	1	−0.0034	NaN
ln_srvsel_devs.697	1	−0.0091	NaN
ln_srvsel_devs.698	1	−0.0052	NaN
ln_srvsel_devs.699	1	−0.0034	NaN
ln_srvsel_devs.700	1	−0.0017	NaN
ln_srvsel_devs.701	1	−0.0033	NaN
ln_srvsel_devs.702	1	−0.0037	NaN
ln_srvsel_devs.703	1	−0.0069	NaN
ln_srvsel_devs.704	1	−0.0101	NaN
ln_srvsel_devs.705	1	−0.0029	NaN
ln_srvsel_devs.706	1	−0.0055	NaN
ln_srvsel_devs.707	1	−0.0214	NaN
ln_srvsel_devs.708	1	−0.0191	NaN
ln_srvsel_devs.709	1	0.0130	NaN
ln_srvsel_devs.710	1	0.0256	NaN
ln_srvsel_devs.711	1	0.0153	NaN
ln_srvsel_devs.712	1	0.0031	NaN
ln_srvsel_devs.713	1	−0.0013	NaN
ln_srvsel_devs.714	1	−0.0026	NaN
ln_srvsel_devs.715	1	−0.0018	NaN
ln_srvsel_devs.716	1	−0.0009	NaN
ln_srvsel_devs.717	1	−0.0009	NaN
ln_srvsel_devs.718	1	−0.0022	NaN
ln_srvsel_devs.719	1	−0.0025	NaN
ln_srvsel_devs.720	1	−0.0017	NaN
ln_srvsel_devs.721	1	−0.0029	NaN
ln_srvsel_devs.722	1	−0.0424	NaN
ln_srvsel_devs.723	1	−0.0904	NaN
ln_srvsel_devs.724	1	−0.0181	NaN
ln_srvsel_devs.725	1	0.0961	NaN
ln_srvsel_devs.726	1	0.0692	NaN
ln_srvsel_devs.727	1	0.0192	NaN
ln_srvsel_devs.728	1	0.0006	NaN
ln_srvsel_devs.729	1	−0.0067	NaN
ln_srvsel_devs.730	1	−0.0059	NaN
ln_srvsel_devs.731	1	−0.0014	NaN
ln_srvsel_devs.732	1	−0.0011	NaN
ln_srvsel_devs.733	1	−0.0039	NaN
ln_srvsel_devs.734	1	−0.0024	NaN
ln_srvsel_devs.735	1	−0.0037	NaN
ln_srvsel_devs.736	1	−0.0095	NaN
ln_srvsel_devs.737	1	−0.0061	NaN
ln_srvsel_devs.738	1	−0.0355	NaN
ln_srvsel_devs.739	1	−0.0067	NaN
ln_srvsel_devs.740	1	0.0245	NaN
ln_srvsel_devs.741	1	0.0246	NaN
ln_srvsel_devs.742	1	0.0120	NaN
ln_srvsel_devs.743	1	0.0044	NaN
ln_srvsel_devs.744	1	0.0000	NaN
ln_srvsel_devs.745	1	−0.0015	NaN
ln_srvsel_devs.746	1	−0.0017	NaN
ln_srvsel_devs.747	1	−0.0011	NaN
ln_srvsel_devs.748	1	−0.0008	NaN
ln_srvsel_devs.749	1	−0.0007	NaN
ln_srvsel_devs.750	1	−0.0017	NaN
ln_srvsel_devs.751	1	−0.0035	NaN
ln_srvsel_devs.752	1	−0.0110	NaN
ln_srvsel_devs.753	1	−0.0236	NaN
ln_srvsel_devs.754	1	−0.0045	NaN
ln_srvsel_devs.755	1	0.0226	NaN
ln_srvsel_devs.756	1	0.0376	NaN
ln_srvsel_devs.757	1	0.0265	NaN
ln_srvsel_devs.758	1	0.0137	NaN
ln_srvsel_devs.759	1	0.0021	NaN
ln_srvsel_devs.760	1	−0.0032	NaN
ln_srvsel_devs.761	1	−0.0082	NaN
ln_srvsel_devs.762	1	−0.0058	NaN
ln_srvsel_devs.763	1	−0.0018	NaN
ln_srvsel_devs.764	1	−0.0013	NaN
ln_srvsel_devs.765	1	−0.0048	NaN
ln_srvsel_devs.766	1	−0.0092	NaN
ln_srvsel_devs.767	1	0.0766	NaN
ln_srvsel_devs.768	1	−0.0088	NaN
ln_srvsel_devs.769	1	−0.0013	NaN
ln_srvsel_devs.770	1	0.0056	NaN
ln_srvsel_devs.771	1	0.0088	NaN
ln_srvsel_devs.772	1	0.0011	NaN
ln_srvsel_devs.773	1	−0.0146	NaN
ln_srvsel_devs.774	1	−0.0125	NaN
ln_srvsel_devs.775	1	−0.0079	NaN
ln_srvsel_devs.776	1	−0.0067	NaN
ln_srvsel_devs.777	1	−0.0082	NaN
ln_srvsel_devs.778	1	−0.0053	NaN
ln_srvsel_devs.779	1	−0.0021	NaN
ln_srvsel_devs.780	1	−0.0030	NaN
ln_srvsel_devs.781	1	−0.0112	NaN
ln_srvsel_devs.782	1	0.0003	NaN
ln_srvsel_devs.783	1	0.0473	NaN
ln_srvsel_devs.784	1	0.0301	NaN
ln_srvsel_devs.785	1	−0.0020	NaN
ln_srvsel_devs.786	1	−0.0084	NaN
ln_srvsel_devs.787	1	−0.0109	NaN
ln_srvsel_devs.788	1	−0.0192	NaN
ln_srvsel_devs.789	1	−0.0266	NaN
ln_srvsel_devs.790	1	−0.0160	NaN
ln_srvsel_devs.791	1	−0.0087	NaN
ln_srvsel_devs.792	1	−0.0061	NaN
ln_srvsel_devs.793	1	−0.0077	NaN
ln_srvsel_devs.794	1	−0.0050	NaN
ln_srvsel_devs.795	1	−0.0034	NaN
ln_srvsel_devs.796	1	−0.0113	NaN
ln_srvsel_devs.797	1	0.0313	NaN
ln_srvsel_devs.798	1	0.0090	NaN
ln_srvsel_devs.799	1	−0.0014	NaN
ln_srvsel_devs.800	1	−0.0113	NaN
ln_srvsel_devs.801	1	−0.0082	NaN
ln_srvsel_devs.802	1	−0.0087	NaN
ln_srvsel_devs.803	1	−0.0140	NaN
ln_srvsel_devs.804	1	−0.0179	NaN
ln_srvsel_devs.805	1	−0.0185	NaN
ln_srvsel_devs.806	1	−0.0113	NaN
ln_srvsel_devs.807	1	−0.0056	NaN
ln_srvsel_devs.808	1	−0.0042	NaN
ln_srvsel_devs.809	1	−0.0051	NaN
ln_srvsel_devs.810	1	−0.0042	NaN
ln_srvsel_devs.811	1	−0.0088	NaN
ln_srvsel_devs.812	1	0.0209	NaN
ln_srvsel_devs.813	1	0.0107	NaN
ln_srvsel_devs.814	1	0.0065	NaN
ln_srvsel_devs.815	1	0.0093	NaN
ln_srvsel_devs.816	1	−0.0033	NaN
ln_srvsel_devs.817	1	−0.0042	NaN
ln_srvsel_devs.818	1	−0.0062	NaN
ln_srvsel_devs.819	1	−0.0092	NaN
ln_srvsel_devs.820	1	−0.0102	NaN
ln_srvsel_devs.821	1	−0.0097	NaN
ln_srvsel_devs.822	1	−0.0048	NaN
ln_srvsel_devs.823	1	−0.0021	NaN
ln_srvsel_devs.824	1	−0.0017	NaN
ln_srvsel_devs.825	1	−0.0027	NaN
ln_srvsel_devs.826	1	−0.0048	NaN
ln_srvsel_devs.827	1	0.0084	NaN
ln_srvsel_devs.828	1	−0.0055	NaN
ln_srvsel_devs.829	1	0.0065	NaN
ln_srvsel_devs.830	1	0.0077	NaN
ln_srvsel_devs.831	1	0.0002	NaN
ln_srvsel_devs.832	1	−0.0046	NaN
ln_srvsel_devs.833	1	−0.0031	NaN
ln_srvsel_devs.834	1	−0.0016	NaN
ln_srvsel_devs.835	1	−0.0018	NaN
ln_srvsel_devs.836	1	−0.0024	NaN
ln_srvsel_devs.837	1	−0.0020	NaN
ln_srvsel_devs.838	1	−0.0015	NaN
ln_srvsel_devs.839	1	−0.0008	NaN
ln_srvsel_devs.840	1	−0.0009	NaN
ln_srvsel_devs.841	1	−0.0018	NaN
ln_srvsel_devs.842	1	−0.0272	NaN
ln_srvsel_devs.843	1	0.0310	NaN
ln_srvsel_devs.844	1	0.0329	NaN
ln_srvsel_devs.845	1	0.0165	NaN
ln_srvsel_devs.846	1	−0.0048	NaN
ln_srvsel_devs.847	1	−0.0234	NaN
ln_srvsel_devs.848	1	−0.0105	NaN
ln_srvsel_devs.849	1	−0.0022	NaN
ln_srvsel_devs.850	1	−0.0022	NaN
ln_srvsel_devs.851	1	−0.0043	NaN
ln_srvsel_devs.852	1	−0.0053	NaN
ln_srvsel_devs.853	1	−0.0060	NaN
ln_srvsel_devs.854	1	−0.0031	NaN
ln_srvsel_devs.855	1	−0.0020	NaN
ln_srvsel_devs.856	1	−0.0058	NaN
ln_srvsel_devs.857	1	−0.0074	NaN
ln_srvsel_devs.858	1	0.0115	NaN
ln_srvsel_devs.859	1	0.0118	NaN
ln_srvsel_devs.860	1	0.0044	NaN
ln_srvsel_devs.861	1	0.0009	NaN
ln_srvsel_devs.862	1	−0.0026	NaN
ln_srvsel_devs.863	1	−0.0008	NaN
ln_srvsel_devs.864	1	−0.0016	NaN
ln_srvsel_devs.865	1	−0.0013	NaN
ln_srvsel_devs.866	1	−0.0009	NaN
ln_srvsel_devs.867	1	−0.0011	NaN
ln_srvsel_devs.868	1	−0.0014	NaN
ln_srvsel_devs.869	1	−0.0009	NaN
ln_srvsel_devs.870	1	−0.0010	NaN
ln_srvsel_devs.871	1	−0.0018	NaN
ln_srvsel_devs.872	1	−0.0661	NaN
ln_srvsel_devs.873	1	0.1004	NaN
ln_srvsel_devs.874	1	0.0214	NaN
ln_srvsel_devs.875	1	−0.0065	NaN
ln_srvsel_devs.876	1	−0.0038	NaN
ln_srvsel_devs.877	1	0.0055	NaN
ln_srvsel_devs.878	1	0.0051	NaN
ln_srvsel_devs.879	1	−0.0090	NaN
ln_srvsel_devs.880	1	−0.0047	NaN
ln_srvsel_devs.881	1	−0.0008	NaN
ln_srvsel_devs.882	1	−0.0008	NaN
ln_srvsel_devs.883	1	−0.0018	NaN
ln_srvsel_devs.884	1	−0.0022	NaN
ln_srvsel_devs.885	1	−0.0030	NaN
ln_srvsel_devs.886	1	−0.0041	NaN
ln_srvsel_devs.887	1	−0.0077	NaN
ln_srvsel_devs.888	1	0.0018	NaN
ln_srvsel_devs.889	1	0.0216	NaN
ln_srvsel_devs.890	1	0.0219	NaN
ln_srvsel_devs.891	1	0.0099	NaN
ln_srvsel_devs.892	1	0.0051	NaN
ln_srvsel_devs.893	1	0.0075	NaN
ln_srvsel_devs.894	1	−0.0025	NaN
ln_srvsel_devs.895	1	0.0003	NaN
ln_srvsel_devs.896	1	−0.0007	NaN
ln_srvsel_devs.897	1	−0.0005	NaN
ln_srvsel_devs.898	1	0.0000	NaN
ln_srvsel_devs.899	1	0.0000	NaN
ln_srvsel_devs.900	1	−0.0002	NaN
ln_srvsel_devs.901	1	0.0007	NaN
ln_srvsel_devs.902	1	−0.0247	NaN
ln_srvsel_devs.903	1	−0.0452	NaN
ln_srvsel_devs.904	1	0.0452	NaN
ln_srvsel_devs.905	1	0.0932	NaN
ln_srvsel_devs.906	1	0.0199	NaN
ln_srvsel_devs.907	1	−0.0091	NaN
ln_srvsel_devs.908	1	−0.0106	NaN
ln_srvsel_devs.909	1	−0.0186	NaN
ln_srvsel_devs.910	1	−0.0060	NaN
ln_srvsel_devs.911	1	−0.0095	NaN
ln_srvsel_devs.912	1	−0.0038	NaN
ln_srvsel_devs.913	1	−0.0006	NaN
ln_srvsel_devs.914	1	−0.0004	NaN
ln_srvsel_devs.915	1	−0.0016	NaN
ln_srvsel_devs.916	1	−0.0060	NaN
ln_srvsel_devs.917	1	−0.0022	NaN
ln_srvsel_devs.918	1	−0.0245	NaN
ln_srvsel_devs.919	1	0.0044	NaN
ln_srvsel_devs.920	1	0.0232	NaN
ln_srvsel_devs.921	1	0.0224	NaN
ln_srvsel_devs.922	1	0.0045	NaN
ln_srvsel_devs.923	1	−0.0033	NaN
ln_srvsel_devs.924	1	−0.0055	NaN
ln_srvsel_devs.925	1	−0.0042	NaN
ln_srvsel_devs.926	1	−0.0055	NaN
ln_srvsel_devs.927	1	−0.0025	NaN
ln_srvsel_devs.928	1	−0.0015	NaN
ln_srvsel_devs.929	1	−0.0007	NaN
ln_srvsel_devs.930	1	−0.0008	NaN
ln_srvsel_devs.931	1	−0.0026	NaN
ln_srvsel_devs.932	1	−0.0273	NaN
ln_srvsel_devs.933	1	−0.0176	NaN
ln_srvsel_devs.934	1	−0.0113	NaN
ln_srvsel_devs.935	1	0.0072	NaN
ln_srvsel_devs.936	1	0.0833	NaN
ln_srvsel_devs.937	1	0.0215	NaN
ln_srvsel_devs.938	1	−0.0019	NaN
ln_srvsel_devs.939	1	−0.0076	NaN
ln_srvsel_devs.940	1	−0.0102	NaN
ln_srvsel_devs.941	1	−0.0184	NaN
ln_srvsel_devs.942	1	−0.0056	NaN
ln_srvsel_devs.943	1	−0.0067	NaN
ln_srvsel_devs.944	1	−0.0026	NaN
ln_srvsel_devs.945	1	−0.0012	NaN
ln_srvsel_devs.946	1	−0.0059	NaN
ln_srvsel_devs.947	1	0.0087	NaN
ln_srvsel_devs.948	1	−0.0183	NaN
ln_srvsel_devs.949	1	−0.0053	NaN
ln_srvsel_devs.950	1	0.0040	NaN
ln_srvsel_devs.951	1	0.0177	NaN
ln_srvsel_devs.952	1	0.0098	NaN
ln_srvsel_devs.953	1	0.0028	NaN
ln_srvsel_devs.954	1	−0.0008	NaN
ln_srvsel_devs.955	1	−0.0016	NaN
ln_srvsel_devs.956	1	−0.0026	NaN
ln_srvsel_devs.957	1	−0.0006	NaN
ln_srvsel_devs.958	1	−0.0010	NaN
ln_srvsel_devs.959	1	−0.0003	NaN
ln_srvsel_devs.960	1	−0.0001	NaN
ln_srvsel_devs.961	1	−0.0007	NaN
ln_srvsel_devs.962	1	0.0149	NaN
ln_srvsel_devs.963	1	−0.0216	NaN
ln_srvsel_devs.964	1	−0.0012	NaN
ln_srvsel_devs.965	1	0.0046	NaN
ln_srvsel_devs.966	1	0.0026	NaN
ln_srvsel_devs.967	1	0.0017	NaN
ln_srvsel_devs.968	1	0.0007	NaN
ln_srvsel_devs.969	1	0.0004	NaN
ln_srvsel_devs.970	1	0.0005	NaN
ln_srvsel_devs.971	1	0.0006	NaN
ln_srvsel_devs.972	1	0.0002	NaN
ln_srvsel_devs.973	1	0.0001	NaN
ln_srvsel_devs.974	1	0.0001	NaN
ln_srvsel_devs.975	1	0.0001	NaN
ln_srvsel_devs.976	1	0.0002	NaN
ln_srvsel_devs.977	1	−0.0012	NaN
ln_srvsel_devs.978	1	−0.0280	NaN
ln_srvsel_devs.979	1	0.0036	NaN
ln_srvsel_devs.980	1	0.0302	NaN
ln_srvsel_devs.981	1	0.0113	NaN
ln_srvsel_devs.982	1	0.0005	NaN
ln_srvsel_devs.983	1	−0.0003	NaN
ln_srvsel_devs.984	1	−0.0002	NaN
ln_srvsel_devs.985	1	−0.0025	NaN
ln_srvsel_devs.986	1	−0.0032	NaN
ln_srvsel_devs.987	1	−0.0009	NaN
ln_srvsel_devs.988	1	−0.0002	NaN
ln_srvsel_devs.989	1	−0.0004	NaN
ln_srvsel_devs.990	1	−0.0011	NaN
ln_srvsel_devs.991	1	−0.0006	NaN
ln_srvsel_devs.992	1	−0.0571	NaN
ln_srvsel_devs.993	1	−0.0673	NaN
ln_srvsel_devs.994	1	0.0127	NaN
ln_srvsel_devs.995	1	0.1481	NaN
ln_srvsel_devs.996	1	0.0348	NaN
ln_srvsel_devs.997	1	−0.0015	NaN
ln_srvsel_devs.998	1	−0.0018	NaN
ln_srvsel_devs.999	1	−0.0027	NaN
ln_srvsel_devs.1000	1	−0.0155	NaN
ln_srvsel_devs.1001	1	−0.0180	NaN
ln_srvsel_devs.1002	1	−0.0042	NaN
ln_srvsel_devs.1003	1	−0.0021	NaN
ln_srvsel_devs.1004	1	−0.0031	NaN
ln_srvsel_devs.1005	1	−0.0059	NaN
ln_srvsel_devs.1006	1	−0.0041	NaN
ln_srvsel_devs.1007	1	0.0069	NaN
ln_srvsel_devs.1008	1	−0.0307	NaN
ln_srvsel_devs.1009	1	−0.0016	NaN
ln_srvsel_devs.1010	1	0.0269	NaN
ln_srvsel_devs.1011	1	0.0142	NaN
ln_srvsel_devs.1012	1	0.0060	NaN
ln_srvsel_devs.1013	1	0.0012	NaN
ln_srvsel_devs.1014	1	−0.0010	NaN
ln_srvsel_devs.1015	1	−0.0036	NaN
ln_srvsel_devs.1016	1	−0.0047	NaN
ln_srvsel_devs.1017	1	−0.0036	NaN
ln_srvsel_devs.1018	1	−0.0028	NaN
ln_srvsel_devs.1019	1	−0.0015	NaN
ln_srvsel_devs.1020	1	−0.0019	NaN
ln_srvsel_devs.1021	1	−0.0027	NaN
ln_srvsel_devs.1022	1	0.0923	NaN
ln_srvsel_devs.1023	1	−0.0469	NaN
ln_srvsel_devs.1024	1	−0.0293	NaN
ln_srvsel_devs.1025	1	−0.0370	NaN
ln_srvsel_devs.1026	1	0.0068	NaN
ln_srvsel_devs.1027	1	0.0457	NaN
ln_srvsel_devs.1028	1	0.0095	NaN
ln_srvsel_devs.1029	1	−0.0013	NaN
ln_srvsel_devs.1030	1	−0.0013	NaN
ln_srvsel_devs.1031	1	−0.0079	NaN
ln_srvsel_devs.1032	1	−0.0220	NaN
ln_srvsel_devs.1033	1	−0.0201	NaN
ln_srvsel_devs.1034	1	−0.0053	NaN
ln_srvsel_devs.1035	1	−0.0047	NaN
ln_srvsel_devs.1036	1	−0.0159	NaN

8.6 Gradient Diagnostics

The fixed-effect parameters with the largest absolute gradients are shown in Table 12. These entries identify the parameters that are furthest from satisfying first-order optimality in the current dev fit.

gt(gradient_summary) |>
  fmt_scientific(columns = c(gradient, absolute_gradient), decimals = 3) |>
  cols_label(
    parameter = "Parameter",
    instance = "Instance",
    gradient = "Gradient",
    absolute_gradient = "Absolute gradient"
  )

Table 12: Fixed-effect parameters with the largest absolute gradients in the SPoRC dev model.

Parameter	Instance	Gradient	Absolute gradient
ln_global_R0	1	1.923 × 10−4	1.923 × 10−4
ln_F_mean	1	3.472 × 10−5	3.472 × 10−5
ln_InitDevs	14	2.851 × 10−5	2.851 × 10−5
ln_fish_fixed_sel_pars	1	2.368 × 10−5	2.368 × 10−5
ln_RecDevs	27	2.204 × 10−5	2.204 × 10−5
ln_RecDevs	16	2.164 × 10−5	2.164 × 10−5
ln_RecDevs	2	2.037 × 10−5	2.037 × 10−5
ln_RecDevs	10	2.005 × 10−5	2.005 × 10−5
ln_RecDevs	6	1.782 × 10−5	1.782 × 10−5
ln_RecDevs	4	1.690 × 10−5	1.690 × 10−5