La maladie du dépérissement chronique des cervidés : une forme d’EST ancienne mais encore bien mal connue
Bibliographic record
Abstract
La maladie du deperissement chronique (MDC) des cervides, propre a trois especes de cervides des Etats-Unis et du Canada (wapiti, cerf de Virginie, cerf mulet), est l’une des plus anciennes maladies a prion ou encephalopathie spongiforme transmissible (EST) connues et la seule existant naturellement sur des especes sauvages. L’interet accru qui lui est porte est relativement recent et il est sans aucun doute lie a la defiance qu’a generee la crise de la vache folle en Europe vis-a-vis des EST. Cette synthese passe en revue les connaissances actuelles sur la maladie, en cherchant a mettre en avant ses caracteristiques propres ainsi que les developpements associes possibles. Bien qu’anciennement connue, cette maladie reste une des EST les moins bien comprises. Il s’agit bien d’une entite differente des autres EST. Les difficultes rencontrees sont en partie liees au fait qu’elle touche des especes sauvages, par definition plus difficiles a etudier. Les implications epidemiologiques et sanitaires seront evoquees.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".