MétaCan
Menu
← Back to cohort
Record W7133275855

SFA 4, EAZ, and WAZ Striped Shrimp Stock Assessment in 2024

2025· other· en· W7133275855 on OpenAlexfundno aff
Fisheries and Oceans Canada, Pêches et Océans Canada

Bibliographic record

VenueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersFisheries and Oceans Canada
KeywordsShrimpIndex (typography)PredatorBiomass (ecology)Stock (firearms)
DOInot available

Abstract

fetched live from OpenAlex

Status SFA 4: In 2024, Striped Shrimp fishable biomass (FBpop) was estimated to be 2.8 times the LRP for SFA 4. The population-wide potential predator index is at a time-series high in 2024, but other indices of stock health showed no cause for concern. Striped Shrimp in SFA 4 is considered in a healthy state. EAZ: In 2024, Striped Shrimp was estimated to be in the Healthy Zone of the PA Framework, above the USR with a 91.5% probability. WAZ: In 2024, Striped Shrimp was estimated to be in the Healthy Zone of the PA Framework, above the USR with a 98.0% probability. Trends SFA 4: In 2024, the SSB index increased by 6% (to 25,000 t) since 2023, and is slightly above the long-term mean (2005–23). The SFA 4-specific FB index has decreased by 26% (to 28,600 t) since 2023, and is slightly below the long-term mean (29,600 t). EAZ: The female SSB and FB indices in the EAZ have increased since 2023, by 97.5% (to 13,488 t) and 11.2% (to 15,724 t), respectively. These indices are above the long-term mean (2009–23) and reference period mean (2009–19). WAZ: The female SSB and FB indices in the WAZ have increased since 2023, by 65.3% (to 65,704 t) and 7.7% (to 72,644 t), respectively. These indices are above the long-term mean (2014–23) and reference period mean (2014–19). Ecosystem and Climate Change Considerations In SFA 4, the EAZ, and WAZ, summer ocean bottom temperatures for 2024 were close to average to slightly warmer. The potential predator index representing the assessment area has increased in recent years to a time-series high in 2024. Stock Advice SFA 4: The preliminary ERI for 2024/2025 was 10.4%, with 74% of the bycatch limit taken. If the full bycatch limit is taken in 2024/2025, the ERI will be 14.1%. EAZ: The preliminary ERI for 2024/2025 in the EAZ was 1.6%, with 11.1% of the TAC taken. If the full TAC is taken in 2024/2025, the ERI will be 14.1%. WAZ: The preliminary ERI for 2024/2025 in the WAZ was 6.0%, with 28% of the TAC taken. If the full TAC is taken in 2024/2025, the ERI will be 21.2%.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.907
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.008
GPT teacher head0.259
Teacher spread0.251 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada→French-language works237,207→