Aperçu - Crise des opioïdes : assurer le suivi et faire évoluer les données de surveillance
Bibliographic record
Abstract
Le nombre de cas de surdoses liées à la consommation d’opioïdes augmente à un rythme alarmant, principalement en raison de l’usage accru du fentanyl et de ses analogues. Des sources de données fiables et solides sur l’utilisation des opioïdes sont cruciales pour la planification d’interventions efficaces, de même que pour l’élaboration de politiques et de directives appropriées en vue de réduire le fardeau des opioïdes. Cet article porte sur les mesures entreprises par les partenaires fédéraux pour s’attaquer à la crise des opioïdes au Canada. Il traite aussi de la nécessité de nouvelles méthodes de surveillance destinées à améliorer la collecte et l’harmonisation des données sur les drogues.
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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 | 0.124 | 0.275 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".