Transfert de matières des bassins versants côtiers au milieu marin : identification, caractérisation et vitesse. L'exemple de la baie du Marin (Martinique) / Transfer of matters from the watersheds toward the coast: identification, characterisation and estimation of the silting up speed. The exemple of La baie du Marin (Martinique)
Bibliographic record
Abstract
Résumé Afin de caractériser et de quantifier les apports sédimentaires d'origine continentale dans la baie du Marin (sud-ouest, Martinique), des prélèvements de matériaux ont été réalisés tant à terre qu'en mer. Ils ont fait l'objet de mesures systématiques de la susceptibilité magnétique, d'études granulométriques et d'analyses chimiques d'éléments traces. Le traitement géostatistique des résultats permet de préciser les sources des sédiments et l'origine de certains éléments. Une fois les éléments caractérisés et quantifiés, les mesures de rayonnement y d'isotopes radioactifs ont permis non seulement d'estimer les vitesses de sédimentation au débouché des cours d'eau mais de construire une radioscopie des transferts dans la baie à partir de certains isotopes radioactifs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".