HIV Testing Patterns and Unrecognized HIV Infection Among Young Asian and Pacific Islander Men Who Have Sex With Men in San Francisco
Bibliographic record
Abstract
The HIV epidemic is rising in Asian and Pacific Islander men who have sex with men (API MSM), who are often first diagnosed with HIV at a late stage of disease. We investigated the HIV testing patterns, correlates of prior testing, and awareness of HIV infection of 495 API MSM aged 18-29 years recruited from venues in San Francisco, using standardized face-to-face interviews. One quarter of participants had never tested for HIV, citing reasons such as perceived low risk, fear of results, and fear of needles. Older age, gay sexual orientation, history of sexually transmitted disease, higher lifetime number of sexual partners, and higher acculturation were significantly and independently associated with prior testing. Thirteen (2.6%) tested HIV-positive, of whom eight were unaware of their infection, five perceived themselves to be at low risk for HIV, and five reported recent UAI. These findings underscore the need to increase access to culturally appropriate and targeted HIV testing and to change perceptions of risk in this population.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".