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Record W2171969497 · doi:10.1371/journal.pmed.1000416

Intravaginal Practices, Bacterial Vaginosis, and HIV Infection in Women: Individual Participant Data Meta-analysis

2011· review· en· W2171969497 on OpenAlexaff
Nicola Low, Matthew Chersich, Kurt Schmidlin, Matthias Egger, Suzanna C. Francis, Janneke van de Wijgert, Richard Hayes, Jared M. Baeten, Joelle Brown, Sinéad Delany‐Moretlwe, Rupert Kaul, Nuala McGrath, Charles Morrison, Landon Myer, Marleen Temmerman, Ariane van der Straten, Deborah Watson‐Jones, Marcel Zwahlen, Adriane Martin Hilber

Bibliographic record

VenuePLoS Medicine · 2011
Typereview
Languageen
FieldImmunology and Microbiology
TopicReproductive tract infections research
Canadian institutionsUniversity of Toronto
FundersOffice of AIDS ResearchNational Institutes of Health
KeywordsVaginal floraBacterial vaginosisMedicineHazard ratioOdds ratioVaginaProspective cohort studyMeta-analysisConfidence intervalCohort studyObstetricsInternal medicineGynecologyDemographySurgery

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.024
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.024
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.043
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0160.061
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0030.002
Research integrity0.0030.003
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 head0.562
GPT teacher head0.455
Teacher spread0.107 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations278
Published2011
Admission routes1
Has abstractyes

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