Bibliographic record
Abstract
Depuis la découverte du virus de l’hépatite C en 1989, le traitement de l’hépatite C a considérablement progressé. Avec l’interféron α en monothérapie, le taux de réponses virologiques prolongées est inférieur à 20 %. Par la suite, l’utilisation d’une bithérapie associant l’interfé-ron α et la ribavirine a permis d’obtenir 40 % de réponses prolongées. Plus récemment, il a été démontré que les interférons pégylés sont globalement deux fois plus efficaces que l’interféron standard. La bithérapie associant les interférons pégylés et la ribavirine donne environ 55 % de réponse virologique prolongée. Avec le recul, il apparaît que la réponse virologique prolongée est associée à un bénéfice histologique et probablement à une diminution du risque de cirrhose et de carcinome hépatocellulaire. Afin d’améliorer l’efficacité du traitement, plusieurs stratégies thérapeutiques sont envisagées : tri-thérapie (interféron pégylé + ribavirine + aman-tadine), cytokines, inhibiteurs enzymatiques, oligonucléotides anti-sens, ribozymes ou vaccin thérapeutique.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.983 | 0.986 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".