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Record W2000511203 · doi:10.1258/ijsa.2011.010397

International travel among HIV-positive and HIV-negative men who have sex with men, San Francisco, USA

2011· article· en· W2000511203 on OpenAlexaboutno aff
K D Taylor, H. Fisher Raymond, H-H M Truong, Theresa Ick, B. Le, J Rive, Willi McFarland

Bibliographic record

VenueInternational Journal of STD & AIDS · 2011
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
FundersNational Institute of Mental HealthCenters for Disease Control and Prevention
KeywordsMedicineMen who have sex with menDemographyQuarter (Canadian coin)Human immunodeficiency virus (HIV)Socioeconomic statusPopulationGerontologyEnvironmental healthSyphilisFamily medicineGeography

Abstract

fetched live from OpenAlex

We measured the prevalence of international travel, the demographic and risk profile of international travellers and risk and preventive behaviours of travellers among HIV-negative and HIV-positive men who have sex with men (MSM), based in San Francisco, CA, USA, through the addition of questions to the local implementation of the National HIV Behavioral Surveillance survey in 2008. Of 270 MSM participating in the survey, slightly more than one-quarter (26.3%) had travelled internationally in the last year. Those with a history of international travel were more likely to be foreign born, of a higher socioeconomic status and HIV uninfected. Of eight HIV-positive MSM who travelled internationally (11.3% of HIV-positive MSM), all were on antiretroviral therapy and only three recalled being vaccinated for hepatitis A and B. Human papillomavirus infection was also higher among international travellers. Travel health services must be improved to address special needs of this population of international travellers.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.561
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.306
Teacher spread0.287 · 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 teacher head, not a consensus.

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

Citations8
Published2011
Admission routes1
Has abstractyes

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