Recommandations sur les tests de libération d’interféron-gamma pour la détection de l’infection tuberculeuse latente – Mise à jour de 2010
Bibliographic record
Abstract
release assays being published all the time, the field is quickly evolving.As a result, this Advisory Committee Statement will be periodically updated as warranted and made available at www.publichealth.gc.ca/tuberculosis.Although no formal grading of the quality of evidence was done, almost all the available studies on IGRAs have limitations, namely lack of a gold standard for latent TB sur les tests de libération d'interféron-gamma étant constamment publiés.La présente déclaration d'un comité consultatif sera donc périodiquement mise à jour au besoin et sera affichée à l'adresse www.santepublique.gc.ca/tuberculose.• Alberta Health and Wellness, Disease Control and Prevention Branch• Division of Tuberculosis Control, British Columbia Centre for Disease Control • Manitoba Tuberculosis Control Program
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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 | 0.104 | 0.229 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.010 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".