Résumés des actions MOREST 2004. MORtalités ESTivales de l'huîtres creuse Crassostrea gigas
Bibliographic record
Abstract
Le Défi Morest s'intéresse aux mortalités estivales des huîtres creuses Crassostrea gigas depuis 2001 . Il vient d'achever sa quatriéme année de travaux par les journées Morest qui se sont tenues dans les locaux du Conseil Régional de Basse Normandie, à son invitation. Elles ont rassemblé 110 personnes contribuant activement à ce projet, tant du côté scientifique (15 laboratoires, 8 disciplines, 6 organismes de recherche) que de celui des structures régionales ou départementales, des structures de transfert de la recherche vers la profession des professionnels représentés par les différentes Sections Régionales Conchylicoles et le Syndicat des écloseurs/nurseurs de coquillages. Avant d'entamer la dernière année du défi en 2005, le bilan provisoire qui vient d'étre fait a permis des avancées importantes pour clarifier la majeure partie des interactions déjà soulignées entre l'environnement, les pathogénes opportunistes et l'huître qui seraient à l'origine de ces mortalités estivales.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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".