Délimitation des unités d'évaluation des stocks de crevette nordique de l'estuaire et du nord du golfe du Saint-Laurent
Bibliographic record
Abstract
Dans l’estuaire et le golfe du Saint-Laurent, quatre unités d’évaluation sont considérées depuis 1993 pour l’évaluation des stocks de crevette nordique, soit Estuaire, Sept-Îles, Anticosti et Esquiman. Ces unités d’évaluation des stocks correspondent aux endroits où des concentrations élevées de crevette sont généralement observées pendant le relevé de recherche. Des informations sur l’abondance et la distribution de l’effort de pêche à la crevette nordique des dernières décennies suggèrent qu’une modification des unités d’évaluation des stocks dans l’estuaire et le nord du golfe du Saint-Laurent est nécessaire. Un changement des délimitations des unités d’évaluation des stocks est proposé et appuyé par la génomique des populations. Les indicateurs de ces stocks ont été mis à jour en fonction des unités d’évaluation proposées et représentent une meilleure adéquation entre les unités d’évaluation et les unités biologiques.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".