Influence du changement climatique sur l'hydrologie du bassin de la Seine
Bibliographic record
Abstract
Pour évaluer l'impact du changement climatique sur l'hydrologie de la Seine et de son bassin, nous avons construit trois scénarios de changement climatique à partir de trois paires de simulations réalisées avec le modèle de circulation générale ARPEGE (Météo-France). Leur impact a été testé grâce à 2 modèles hydrologiques : le modèle CaB, développé pour simuler les bilans d'eau et d'énergie dans les modèles de circulation générale mais qui ignore les aquifères profonds, contrairement au modèle hydrogéologique MODCOU. Ces deux modèles s'accordent, selon les trois scénarios, sur une intensification des contrastes saisonniers sous changement climatique, illustrée par des crues plus importantes en hiver et des étiages plus sévères en été.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".