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Record W7005342478

A preliminary examination of differential survey trends in recent years between the Canadian Spring and EU-Spain surveys for 3NO cod

2023· other· en· W7005342478 on OpenAlexaboutno aff

Bibliographic record

VenueDIGITAL.CSIC (Spanish National Research Council (CSIC)) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsStock (firearms)Survey data collectionSpring (device)Survey methodologySurvey researchFishingDistribution (mathematics)General Social Survey
DOInot available

Abstract

fetched live from OpenAlex

Results of the EU-Spain survey in Divs. 3NO are not used as input to the current ADAPT assessment model for 3NO cod but make an interesting comparison to the Canadian Spring survey since they occur at approximately the same time of year. The two surveys exhibit differences in both abundance and biomass trends in recent years, with the EU-Spain survey results indicating some relatively strong signs of stock growth since 2007 but the Canadian spring survey showing little to no sign of stock growth. Results did not change when analyses of the Canadian survey were restricted only to strata located all or partially within the NRA. An examination of distribution plots for the two surveys suggests that a lower density of fishing sets in the NRA by the Canadian Spring survey relative to the EU-Spain survey might be at least partially responsible for the differential trends between the two survey time series in recent years. However, because the EU-Spain survey covers only a small portion of the stock area, the observed trends for this survey can not be considered indicative of the entire stock. Differences in the length distribution of the catches were also evident in some years.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.056
metaresearch head score (Gemma)0.049
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.869
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0560.049
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.281
GPT teacher head0.370
Teacher spread0.089 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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