Modèles numériques hydrogéologiques des îles de la Madeleine pour le Projet d'acquisition de connaissances sur les eaux souterraines (PACES)
Bibliographic record
Abstract
Dans le cadre du Projet d'acquisition de connaissances sur les eaux souterraines (PACES) aux îles de la Madeleine, des modèles numériques hydrogéologiques ont été développés et calibrés afin d'estimer la piézométrie et la position de l'interface eau douce - eau salée, de modéliser la remontée de l'interface eau douce - eau salée sous les puits de pompage, d'estimer l'épaisseur de la lentille d'eau douce, de déterminer les différentes composantes du bilan hydrologique, d'évaluer l’impact des pompages municipaux sur la disponibilité de la ressource en eau souterraine et d'identifier les aires d’alimentation des aquifères. Tous les fichiers nécessaires au développement et à l'utilisation des modèles sont présentés ici.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.009 |
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".