Bibliographic record
Abstract
L'infection tuberculeuse latente (ITL) se définit comme un état caractérisé par une réponse immunitaire persistante à la stimulation par des antigènes de Mycobacterium tuberculosis, sans signes cliniques manifestes de tuberculose active.Les individus qui ont l'ITL représentent un réservoir propice à l'apparition de cas de tuberculose active.Le dépistage et la prise en charge de l'ITL sont aujourd'hui deux volets clés de la Stratégie de l'Organisation mondiale de la Santé pour mettre fin à la tuberculose, ainsi que du cadre d'action fédéral pour la prévention et le contrôle de la tuberculose mis en place par le gouvernement du Canada.L'importance accordée à ces deux volets s'explique du fait que l'ITL peut évoluer en tuberculose active ou être réactivée, un risque qui augmente largement chez les personnes immunodéprimées.Dans cet article, nous présentons un résumé de l'ITL et du risque de réactivation de l'infection et examinons les avancées récentes dans le diagnostic et le traitement de cette infection.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".