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Record W7133271236

Science response: 2021 stock status update for Atlantic herring in Nafo div. 3KLPs

2022· other· en· W7133271236 on OpenAlexfundaboutno 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 · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersFisheries and Oceans Canada
KeywordsDiscardsStock (firearms)HerringBayFishingStock assessmentAtlantic herring
DOInot available

Abstract

fetched live from OpenAlex

This Science Response Report results from the January 26-27, 2021 Science Response Process Stock Status Update of NAFO Subdivisions 3KLPs Herring as requested by Fisheries and Oceans Canada (DFO) Resource Management. In light of the COVID-19 situation and resulting data limitations, a full Regional Peer Review meeting scheduled for December 1-2, 2020 had to be cancelled. Alternatively, it was decided that the Centre for Science Advice (CSA), Newfoundland and Labrador (NL) Region, would coordinate an internal DFO Stock Update. This stock was last fully assessed in 2019 (DFO 2019) which included stock status updates for Bonavista Bay-Trinity Bay (BBTB) and Fortune Bay (FB) to 2017, and St. Mary’s Bay-Placentia Bay (SMBPB) to 2018. Information available for the current update included fishery landings to 2020, estimated bait landings and purse seine discards from DFO telephone surveys to 2020, biological data including ages and spawning components for the Research Gillnet Program to 2018, and biological data without ages or spawning component to 2019. An overview of three recent acoustic surveys was also provided.

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)0.003
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.810
Threshold uncertainty score0.378

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0880.063

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 head0.010
GPT teacher head0.251
Teacher spread0.241 · 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
Published2022
Admission routes2
Has abstractyes

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