MétaCan
Menu
Back to cohort
Record W1995859928 · doi:10.1097/qad.0b013e3283574df9

Increasing sexual risk behaviour among Dutch men who have sex with men

2012· letter· en· W1995859928 on OpenAlexaff
Ard van Sighem, Irálice AV Jansen, Daniela Bezemer, Frank de Wolf, Maria Prins, Ineke G. Stolte, Christophe Fraser

Bibliographic record

VenueAIDS · 2012
Typeletter
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsInstitute of Infection and Immunity
FundersRijksinstituut voor Volksgezondheid en MilieuNational Institutes of HealthStichting Sanquin BloedvoorzieningUniversiteit van Amsterdam
KeywordsMen who have sex with menDemographyAnal intercourseIncidence (geometry)Human immunodeficiency virus (HIV)MedicineProspective cohort studyCohortCohort studySexual behaviorGerontologyPsychologyGynecologyFamily medicineClinical psychologySurgeryInternal medicineMathematicsSociology

Abstract

fetched live from OpenAlex

Changes in risk behaviour among men who have sex with men (MSM) in the Netherlands were estimated by fitting a mathematical model to annual HIV and AIDS diagnoses in the period 1980-2009 and, independently, from rates of unprotected anal intercourse in a prospective cohort study in Amsterdam. The agreement between the two approaches was very good, confirming that in terms of incidence, increasing risk behaviour between MSM is offsetting benefits offered by enhanced testing and treatment.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.451
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.305
Teacher spread0.286 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations21
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueAIDSSame topicHIV/AIDS Research and InterventionsFrench-language works237,207