Recommandations d’un collectif franco-suisse d’experts pour une meilleure évaluation de la qualité écotoxicologique des sédiments par l’étude des communautés benthiques
Bibliographic record
Abstract
Les sédiments ont un rôle écologique essentiel pour de nombreuses espèces aquatiques. Toutefois, leur capacité à capter les polluants persistants peut participer à long terme à la contamination des milieux aquatiques. Aussi, afin de mieux prendre en compte les impacts écotoxicologiques de la contamination des sédiments et appréhender le risque écologique qui en découle, il est important de disposer de méthodes d'évaluation robustes. Cet article présente la contribution d'un groupe franco-suisse réunissant chercheurs, gestionnaires et représentants de bureaux d'études qui ont travaillé ensemble afin de dresser un état des lieux et formuler des recommandations pour mieux caractériser la contamination des sédiments, les niveaux d'exposition des communautés benthiques et les effets possibles sur ces espèces.
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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 | 0.063 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".