Suivi périodique de l'évolution du recrutement de l'esturgeon jaune du fleuve Saint-Laurent en 1999
Bibliographic record
Abstract
/ A partir des données recueillies de 1991 à 1997 et d'une campagne d'échantillonnage en 1999, le but de ce travail est de suivre l'évolution de l'indice relatif de recrutement d'une quinzaine de cohortes d'esturgeon jaune du fleuve Saint-Laurent. Pour ce faire, les objectifs sont de : procéder à un nouveau calcul de l'indice ; poursuivre le portrait comparatif de la répartition en longueur des esturgeons juvéniles capturés dans les différents secteurs du fleuve Saint-Laurent. Les travaux de Rochard et Leclercs (1999) ayant démontré la nécessité d'une standardisation des lectures d'âges effectuées depuis 1991, nous avons procédé cette année à une évaluation critique de la procédure utilisée et à une révision de l'ensemble de ces lectures;
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".