Notice de présentation des projections et incertitudes pour Explore2: version courte
Bibliographic record
Abstract
Explore2 -Notice de prsentation des projections et incertitudes pour Explore2 1 Le projet Explore2, port par INRAE et l'Office International de l'eau (OiEau), s'inscrit dans la suite de l'tude Explore 2070 (2010-2012) grce laquelle les acteurs de la recherche, autour du Ministre de l'cologie, avaient tabli des premiers scnarios prospectifs de disponibilits des ressources en eau l'chelle de la France horizon 2070.Officiellement lanc en juillet 2021, co-financ par les partenaires du projet, le Ministre de la transition cologique (MTE) et l'Office franais de la biodiversit (OFB), le projet Explore2 a pour objectif, d'ici 2024, d'actualiser les connaissances sur l'impact du changement climatique sur l'hydrologie partir des publications du GIEC (CMIP5), mais aussi d'accompagner les acteurs des territoires dans la comprhension et l'utilisation de ces rsultats pour adapter leurs stratgies de gestion de la ressource en eau.
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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 | 0.012 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| 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; 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".