The R263K resistance substitution decreases levels of integrated HIV DNA over time
Bibliographic record
Abstract
RDT), aimed at people most exposed to HIV risks and furthest removed from health concerns.There is one population that is not targeted even though they have quite an appetite for sex, being more multi-partner than the general population: people who frequent shows organised by the erotic industry.Two associations, with the support of healthcare professionals, set up booths inside the shows, providing information on HIV/STI prevention and screening and offering HIV RDT.Methods: Cross-sectional study through anonymous self-reported questionnaire of people participating in erotic shows in 4 large cities in 2015, all willing to have the HIV RDT.Socio-demographic profile, risk practices and attitude towards HIV/STIs screening were collected as well as RTD results.Results: In the 4 erotic shows, 943 people took part in the study, 2/3 men, mean age 26 years.>1/3 had never been tested for HIV and >2/3 for STI.65.8% had had sexual relations without a condom over the past 12 months, 10.7% had used cocaine or snorted over the past 5 years and 73% had experienced abusive consumption of alcohol.Those who had never had an HIV test were statistical younger, more often male, report more frequently no sexual relations over the past 12 months and more often heterosexual relationships and sexual relationships in exchange for money/services.Out of the 943 RDT, 3 were positive.Apart from the demand for testing, people were very keen to get information on HIV/STIs and to discuss their sexual practices.Conclusion: This study demonstrates that a fun and commercial backdrop as erotic show can be useful as a potential new site for HIV/STI information, screening and to tackle issues of sexuality.People who might not have done the test or sought information elsewhere were encouraged to have themselves screened and to reflect on their risk behavior.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".