MétaCan
Menu
Back to cohort

Mucosal Integrity Factors Are Perturbed during Bacterial Vaginosis: A Proteomic Analysis

2014· article· en· W2268402588 on OpenAlexaff
Kelly B. Arnold, Kenzie Birse, Lyle R. McKinnon, Jiriam Lingappa, Rick Novak, Garrett Westmacott, T. Blake Ball, D. A. Lauffenburger, Adam Burgener

Bibliographic record

VenueAIDS Research and Human Retroviruses · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive tract infections research
Canadian institutionsPublic Health Agency of CanadaUniversity of Manitoba
Fundersnot available
KeywordsBacterial vaginosisHuman immunodeficiency virus (HIV)Agency (philosophy)Reproductive healthLibrary scienceGerontologyMedicineImmunologyGynecologySociologyPopulationEnvironmental healthSocial science

Abstract

fetched live from OpenAlex

Methods: HSV2 prevalence at enrollment and incidence at 24 months on study were determined by validated western blot assay.HIV-1 testing occurred at specified intervals and RNA PCR was used to confirm HIV-1 infection.Multivariate logistic regression modeling was used to investigate associations.Results: HSV2 prevalence at enrollment was 31% (248/798; 95% CI 28-34%); prevalence of HSV2 was significantly higher in women (49%) than in men (16%); p < 0.001.Prevalence increased with age for both genders, with 45% of men and 75% of women 27 years or older infected.Prevalence varied by site, but not by circumcision status after adjustment for age.HSV2 incidence at 24 months was

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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

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 head0.071
GPT teacher head0.358
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations7
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueAIDS Research and Human RetrovirusesSame topicReproductive tract infections researchFrench-language works237,207