Mesure de l'incidence de l'hépatite virale B selon la séroconversion pour l'AC HBC, chez les donneurs de sang du Québec
Bibliographic record
Abstract
Cette étude visait à évaluer le risque résiduel de l’hépatite virale B (HVB) en mesurant son incidence chez 112 242 donneurs de sang d’Héma-Québec, via la séroconversion pour l’anticorps dirigé contre le noyau (Ac HBc) au lieu de l’habituel antigène de surface (Ag HBs). Les donneurs ayant eu une séroconversion pour l’Ac HBc et dépistés positifs pour l’Ac HBs (anticorps dirigé contre l’Ag HBs) ont été définis comme cas incidents. D’avril 2003 à avril 2005, l’identification de 13 cas incidents pour l’Ac HBc et 3 pour l’Ag HBs a permis d’estimer des incidences respectives de 12,6 x 105 personnes-années-1 et 3,35 x 105 personnes-années-1, correspondant à des risques résiduels de 1/63 018 dons et de 1/237 731 dons. L’incidence de l’HVB via l’Ac HBc est différente de celle via l’Ag HBs. Notre étude suggère que l’Ac HBc ne semble pas un marqueur fiable d’une récente infection d’HVB.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".