Fardeau économique lié aux traumatismes de la moelle épinière au Canada
Bibliographic record
Abstract
Introduction Cette étude vise à mesurer, au moyen d'une approche fondée sur l'incidence, le fardeau économique à vie lié aux traumatismes de la moelle épinière (TME) au Canada du point de vue social, en incluant les coûts directs et indirects. Méthodologie Les ressources disponibles et l'information sur les coûts liés aux cas de tétraplégie et de paraplégie complètes et incomplètes ont été appliquées à l'incidence annuelle estimative des TME au Canada en fonction de leur gravité. Résultats Le fardeau économique à vie d'une personne atteinte d'un TME varie de 1,5 million de dollars pour une paraplégie incomplète à 3 millions de dollars pour une tétraplégie complète. Le fardeau économique annuel lié aux 1 389 nouveaux cas de TME où le patient a survécu à son hospitalisation est estimé à 2,67 milliards de dollars. Conclusion Malgré leur fréquence annuelle relativement faible au Canada, ces blessures entraînent un fardeau économique annuel important.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".