Surveillance des effets de la pollution atmosphérique en milieu urbain sur la santé : le Programme français PSAS-9
Bibliographic record
Abstract
Le programme de surveillance épidémiologique dans 9 grandes villes en France (PSAS-9) a pour objectif d’estimer les relations entre l’exposition à la pollution atmosphérique urbaine et des indicateurs de l’état de santé de la population afin d’évaluer l’impact de la pollution sur la santé des habitants. Suivant un protocole standardisé, les 9 agglomérations ont collecté des indicateurs journaliers agrégés de pollution à partir d’un réseau de stations de mesures et des indicateurs agrégés de mortalité provenant des registres de décès. Ces données ont été analysées par la méthode de modélisation de séries temporelles. Les excès de risque à court terme estimés pour la mortalité toutes causes étaient compris entre 1,2 et 1,9% selon l’indicateur d’exposition. Le gain sanitaire potentiel annuel lié à une réduction de 50% des niveaux moyens de pollution a été estimé à 2786 décès pour les 9 villes.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".