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.
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 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 | 0.015 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".