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Record W2586351339 · doi:10.1071/sh16220

2020, sexually transmissible infections and HIV in gay, bisexual and other men who have sex with men

2017· editorial· en· W2586351339 on OpenAlexaff
Christopher K. Fairley, Garrett Prestage, Kyle T. Bernstein, Kenneth H. Mayer, Mark Gilbert

Bibliographic record

VenueSexual Health · 2017
Typeeditorial
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsBC Centre for Disease ControlUniversity of British Columbia
FundersNational Institutes of Health
KeywordsThrushGonorrheaMen who have sex with menMedicineGenital wartsHuman immunodeficiency virus (HIV)Incidence (geometry)SyphilisHomosexualityDemographyGynecologyFamily medicineHuman papilloma virusGender studiesCancerInternal medicineCervical cancerSociology

Abstract

fetched live from OpenAlex

This editorial accompanies a series of papers dealing with this watershed period for HIV and sexually transmissible infections (STI) infections in gay, bisexual and other men who have sex with men (GBM). We are delighted to share with you the views of some international opinion leaders on what the future may hold and what challenges lie ahead. In this issue of the Journal, authors describe current HIV and STI incidence among GBM and predict the future.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.079
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 integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.404
Teacher spread0.362 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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