Grippe aviaire A(H5Nx) : Lacunes dans les connaissances en matière de santé publique et besoins de recherche
Bibliographic record
Abstract
L'Agence de la santé publique du Canada (ASPC), en collaboration avec des partenaires nationaux et internationaux, surveille continuellement les agents pathogènes émergents ou réémergents. En adoptant l’approche « Une seule santé », l'ASPC identifie les principales lacunes en matière de connaissances en santé publique et les besoins en recherche concernant la grippe aviaire A(H5Nx). Ces informations sont à jour au 5 septembre, 2025, et peuvent être remplacées par des mises à jour plus récentes. Pour vous assurer de consulter la version la plus récente des lacunes en matière de connaissances et des besoins de recherche en santé publique, veuillez consulter la version disponible sur Canada.ca.
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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 | 0.029 | 0.083 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.034 | 0.007 |
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".