MALADIE DÉBILITANTE CHRONIQUE CHEZ LES ANIMAUX DE LA FAUNE AU CANADA : L’OPINION D’EXPERTS SUR L’ÉPIDÉMIOLOGIE ET LES RISQUES POUR LES CERFS SAUVAGES
Bibliographic record
Abstract
On retrouve dans le présent document le sommaire des discussions, conclusions et recommandations d’un Groupe d’experts scientifiques mis en place dans le but : 1) de faire le point sur la maladie débilitante chronique (MDC) qui affecte les cervidés vivant en liberté au Canada, 2) d’évaluer les retombées écologiques et socio-économiques de la MDC au Canada, 3) de formuler des recommandations relativement aux mesures devant être mises en place, au niveau de la recherche et de la gestion, en vue de réduire au minimum les répercussions néfastes de la MDC sur les espèces de cervidés.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".