High Prevalence of Genetically Similar HIV-1 Recombinants among Infected Sex Workers in Nairobi, Kenya
Bibliographic record
Abstract
HIV-1, a highly diverse infectious agent, shows the greatest sequence diversity in highly exposed individuals, including greater levels of recombination. HIV-1 diversity in Nairobi, Kenya was examined in 240 individuals, including both those with high and low exposure to HIV. Sequence analysis of a 590 nucleotide proviral region encompassing vpu and part of env revealed that most viruses were clade A1 (70%), while both clade D (9%) and clade C (6%) virus were also observed, as was recombinant virus (15%). Participation in sex work was significantly associated with clade: these subjects had a lower likelihood of infection with clade C virus and a higher likelihood of infection with a recombinant isolate (p = 0.038). Interestingly, most of the recombinants formed distinct groups based on shared recombination breakpoints between common clades (n = 33/37). This study shows the value of continued HIV sequence analysis to examine and monitor viral genetic variability.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".