La grande baie Saint-Nicolas - Caractérisation des habitats littoraux d'importance de la rive nord de l'estuaire maritime du Saint Laurent
Bibliographic record
Abstract
Un projet de caractérisation des habitats littoraux d’importance de la rive nord de l’estuaire maritime du Saint-Laurent a été subventionné pour une période de 4 ans (2023-2027). Ce projet a pour but de générer des données écologiques de référence pour tracer un portrait global de l’état des habitats littoraux le long de la rive nord de l'estuaire maritime. Ce jeu de données couvre le secteur de la grande baie Saint-Nicolas (municipalité de Franquelin). Afin d'améliorer les connaissances de cet écosystème, des inventaires floristiques et fauniques (ichtyologiques) ont été réalisés et les différents facteurs abiotiques caractérisés. Ce projet fait partie du Programme sur les données environnementales côtières de référence de Pêche et Océans Canada.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".