Réduction des maladies cardiovasculaires et dépenses de santé au Québec à lhorizon 2050
Bibliographic record
Abstract
Les maladies cardiovasculaires (MCV), y compris l’hypertension et les accidents vasculaires cérébraux, comptent pour une part importante de la mortalité et des coûts directs de santé au Québec. Dans cette étude, nous utilisons un modèle de microsimulation afin de projeter jusqu’en 2050 les dépenses publiques en hospitalisations et en consultations médicales selon divers scénarios d’évolution de la présence des MCV. Un scénario plausible de baisse immédiate de 30 % de l’incidence des MCV grâce à la prévention génère des économies cumulées de 21 milliards de dollars en valeur présente. À cela s’ajoute une valeur économique de 66 milliards de dollars de 2012 pour les années de vie sauvées au cours de la période.
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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 | 0.019 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".