Les maladies évitables par la vaccination : un aperçu des maladies peu fréquentes pour le professionnel de la santé de première ligne
Bibliographic record
Abstract
Le présent point de pratique fournit aux professionnels de la santé de première ligne un aperçu des maladies évitables par la vaccination qui, grâce au succès des programmes d’immunisation au Canada, sont devenues rares ou peu fréquentes. Les enfants et les adolescents du Canada et d’ailleurs peuvent encore contracter ces infections, dont le dépistage clinique a des conséquences importantes pour la santé publique. Afin d’offrir des soins préventifs, il est essentiel de connaître les signes et symptômes de ces maladies, de vacciner les voyageurs et les nouveaux arrivants au Canada, de connaître les éclosions dans la communauté et ailleurs et de consulter rapidement un expert en infectiologie et les services de santé publique pour les cas présumés.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".