Etravirine for HIV-I: Addressing the Limitations of the Nonnucleoside Reverse Transcriptase Inhibitor Class
Bibliographic record
Abstract
Etravirine (ETR) is a second-generation nonnucleoside reverse transcriptase inhibitor (NNRTI) specifically designed for treatment-experienced patients infected with HIV-1. Its unique strength over other, older agents in the NNRTI class is its higher genetic barrier to resistance, allowing it to be used effectively in patients with limited treatment options. The arrival of ETR in the market has made sequential NNRTI therapy possible for the first time in the history of HIV treatment, as it can maintain virologic activity in the presence of certain (and sometimes multiple) NNRTI mutations. Although ETR has demonstrated efficacy in treatment-experienced and NNRTI-resistant patients in large trials, further analyses on its resistance profile are ongoing. As new data emerge on the weighting of ETR's resistance-associated mutations (RAMs), investigators and clinicians will no doubt be able to further characterize its specific place in the HIV treatment armamentarium.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".