Un nouveau test diagnostique de la maladie de Creutzfeldt-Jakob : la conversion provoquée par tremblement en temps réel (RT-QulC)
Bibliographic record
Abstract
À l'heure actuelle, pour diagnostiquer de manière définitive la maladie de Creutzfeldt-Jakob (MCJ), il faut procéder à l'examen du cerveau des patients décédés.En collaboration avec un consortium international, le Laboratoire national de microbiologie du Canada est à valider un nouveau test permettant de diagnostiquer la maladie de Creutzfeldt-Jakob chez des patients vivants.Ce test, qu'on appelle « conversion provoquée par tremblement en temps réel » (RT-QulC), détecte directement la forme de la protéine prion associée à la maladie dans le liquide céphalorachidien.Advenant que la RT-QuIC soit bel et bien validée, ce test représentera une avancée majeure dans le domaine du diagnostic des patients qu'on présume être atteints de la maladie de Creutzfeldt-Jakob.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".