Men Who have Sex with Men in China have Relatively Low Numbers of Sexual Partners
Bibliographic record
Abstract
HIV prevalence is increasing rapidly among men who have sex with men (MSM) in China and potentially associated with the number of male sexual partners that each man has on average. This study estimates the distribution of the number of male sexual partners among Chinese MSM through a comprehensive review of English and Chinese published literature. The overall median number of male sexual partners of Chinese MSM in the past 6 months China was estimated to be 1.5 (95% CI, 1.1-1.8) and 3.8 (95% CI 1.5-6.9) sexual partners in the past 6-month and 12-month periods respectively. An estimated 31% of sexual partners of MSM in China are regular partners, 54% are casual partners, and 16% are commercial partners. The reported numbers of sexual partners has not changed over time during the past decade. The numbers of male sexual partners reported by Chinese MSM is consistently lower than other settings and may not be sufficient to explain the recent rapid increase in HIV prevalence.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".