Détection et analyse automatique des aérosols atmosphériques par lidar ultraviolet ou infrarouge
Bibliographic record
Abstract
Le changement climatique récent est attribué entre autres à l'impact des particules atmosphériques d’origine naturelle ou des activités humaines d’après le dernier rapport du GIEC [1]. Les aérosols affectent également les propriétés des nuages et influencent le cycle de l'eau, pouvant intensifier les moussons. En avril 2010, le volcan Eyjafjallajökull a créé un panache de plusieurs milliers de kilomètres sur l’Europe et causé la fermeture de plusieurs aéroports internationaux, clouant au sol des millions de voyageurs et une perte économique globale de 1,7 milliards de dollars. Tous les jours, les aérosols transfrontaliers (panache de sable du Sahara, résidus de combustion des forêts canadiennes) affectent la santé des populations habitant notamment en zones urbaines ainsi que les activités économiques.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".