The rate of <scp>HIV</scp> testing is increasing among men who have sex with men in <scp>C</scp>hina
Bibliographic record
Abstract
OBJECTIVES: HIV infection is spreading relatively quickly among men who have sex with men (MSM) in China. Accurate knowledge of HIV status is of high importance for public health prevention. METHODS: We conducted a systematic review of literature published in either English or Chinese to collate available HIV testing data among MSM in China. Linear regression and Spearman's rank correlation were used to study factors associated with HIV testing rates. RESULTS: Fifty-five eligible articles were identified in this review. The proportion of MSM who had ever been tested for HIV has significantly increased, from 10.8% in 2002 to 51.2% in 2009. In comparison, reported rates of HIV testing in the past 12 months have also significantly increased, from 11.0% in 2003 to 43.7% in 2009. CONCLUSIONS: Chinese MSM have relatively low HIV testing rates compared with MSM in other settings. It is important to continue to promote HIV testing among MSM in China.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".