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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 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".