Bilan scientifiqueLA PLANÈTE REVISITÉE EN CORSE: Volet marin 2019-2021
Bibliographic record
Abstract
Le projet La Planète Revisitée en Corse est mené par le Muséum national d’Histoire naturelle (MNHN), la Collectivité de Corse (CdC) et l’Office français de la biodiversité (OFB), en collaboration avec l’Università di Corsica et le CNRS (Laboratoire Sciences Pour l’Environnement, Laboratoire Stella Mare, Laboratoire Lieux, Identités, eSpaces et Activités), l’Office de l’Environnement de la Corse (OEC), le Conservatoire botanique national de Corse (CBNC), le Parc naturel u Capicorsu et de l’Agriate, l’Institut Français de Recherche pour l’Exploitation de la Mer (Ifremer), l’Office national des Forêts (ONF), le Conservatoire du littoral, le Parc Naturel Régional de Corse (PNRC) et l’Académie de Corse, avec l’appui de la Communauté de Communes de l’Alta Rocca, l’Institution de gestion sociale des armées La Marana (IGESA), le Centre d’Études Sous-Marine de San Fiurenzu (CESM), le Centre Permanent d’Initiatives pour l’Environnement de Bastia (CPIE, U Marinu), le Shom, service hydrographique national, l’infrastructure RECOLNAT, la base aérienne 126 de Vintisari-Sulinzara et la mairie d’Ota.
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.043 | 0.010 |
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".