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Record W4393931094 · doi:10.32920/25436797.v1

HIV Optimism and High-Risk Sexual Behavior in Two Cohorts of Men Who Have Sex With Men

2024· preprint· en· W4393931094 on OpenAlexaboutno aff
Trevor Hart, Carolyn A. James, Carolyn M P Hagan, Emilie Boucher

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsOptimismHuman immunodeficiency virus (HIV)Men who have sex with menDemographyMedicinePsychologyClinical psychologySocial psychologyVirologySociology

Abstract

fetched live from OpenAlex

[para. 1]: “Men who have sex with men (MSM) account for 76.3% of the HIV cases in Canada since HIV reporting began in 1985 (Public Health Agency of Canada, 2007). There has been a recent increase in unprotected anal intercourse (UAI) among MSM both in the United States and Canada, which seems to have occurred soon after the advances in antiretroviral therapy (ART; George et al., 2006; Katz et al., 2002; Stolte, Dukers, Geskus, Coutinho, & de Wit, 2004). HIV optimism—the term given for a set of beliefs that ART has made HIV less of a health threat—has been found to be associated with HIV sexual risk behavior among MSM in a recent meta-analysis (Crepaz, Hart, & Marks, 2004), as well as in other studies on MSM (e.g., Cox, Beauchemin, & Allard, 2004; Peterson & Bakeman, 2006).”

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.020
GPT teacher head0.346
Teacher spread0.327 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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