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Record W7133276742

Scientific Elements of the Northern Gulf of St. Lawrence (NAFO 3Pn4RS) Atlantic Cod Rebuilding Plan

2023· other· en· W7133276742 on OpenAlexaboutno aff
Hugues P.‏ Benoît, Jordan Ouellette-Plante

Bibliographic record

VenueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTimelinePlan (archaeology)Stock (firearms)Fish stockStock assessmentFisheries managementFish <Actinopterygii>
DOInot available

Abstract

fetched live from OpenAlex

The Atlantic cod (Gadus morhua) stock in the northern Gulf of St. Lawrence (NAFO 3Pn4RS) is below its limit reference point. Given the new Fish Stock Provisions that came into force by regulation in April 2022, this means that Fisheries and Oceans Canada (DFO) is legally required to develop a rebuilding plan for this stock. A rebuilding plan comprises several elements, many of which are defined or supported by information and analyses provided by DFO’s Science sector. More specifically, it is under the purview of DFO Science to provide scientifically defensible options for a rebuilding target and rebuilding timeline (Tmin), to evaluate the probability of meeting rebuilding objectives and timelines based on different fishery management options proposed, to identify indicators for tracking rebuilding progress and guide decisions for the periodic review of the rebuilding plan. Peer review of these new elements and analyses is an important step in ensuring that they constitute the best science possible based on the available data, resources and timeline for their development.

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)0.019
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.123
Threshold uncertainty score0.285

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.006
Science and technology studies0.0050.002
Scholarly communication0.0080.002
Open science0.0040.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0130.006

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 head0.013
GPT teacher head0.235
Teacher spread0.223 · 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 designNot applicable
Domainnot available
GenreOther

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