Immunité maternelle et transmission mère-enfant du VIH et du VHC
Bibliographic record
Abstract
Human immunodeficiency virus type 1 (HIV-1) and hepatitis C virus (HCV) are two viral pathogens that establish chronic infections in their hosts and that are at present responsible for serious public health problems on a pandemic scale. HIV-1 and HCV can be transmitted from person to person by contact with bodily fluids. Both can also be transmitted from mother to child during the course of pregnancy and childbirth. There are currently no vaccines available to immunize against HIV-1 and HCV infection or to prevent mother-to-child transmission (MTCT), and accessible treatments have significant yet limited efficacy. However, important progresses have been made since the discovery of HCV and HIV-1 : (a) sensitive screening and detection methods have been perfected ; (b) risk factors for acquisition, replicative cycles, pathogenesis, and mechanisms of transmission have been better characterized ; (c) specific treatments, immunotherapy, and antiretroviral prophylaxis regimen were developed ; (d) immune correlates of protection are better understood ; and (e) vaccine design was undertaken. In addition, co-infection with HCV and HIV-1, which is common among high-risk groups including injection drug users, significantly increases the incidence of MTCT of both viruses. The mechanisms by which this facilitation occurs are still under investigation and may involve direct replicative facilitation, enhancement of placental transfer, and/or interference with host immune responses. Taken together, these developments could lead to the implementation of global scale strategies to prevent MTCT of HCV and HIV-1.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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; both teacher heads 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".