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Record W339637454

Behavioural and social characteristics of subjects with repeated sexually transmitted diseases.

2000· article· en· W339637454 on OpenAlexaff
Milan Bjekić, Hristina Vlajinac, Jelena Marinković

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsSKiN Health
Fundersnot available
KeywordsLogistic regressionSexually transmitted diseaseMedicineDemographySexual intercourseSexual contactSexually activePsychiatryPsychologyGerontologyFamily medicineEnvironmental healthGonorrheaPopulationSyphilisHuman immunodeficiency virus (HIV)Internal medicine
DOInot available

Abstract

fetched live from OpenAlex

A case-control study was performed in order to assess risk factors for repeated sexually transmitted diseases. The study comprised 101 patients who had had sexually transmitted diseases 3 or more times during their lives and 182 controls who had no history of sexually transmitted disease. The subjects all attended the City Department for Skin and Venereal Diseases in Belgrade, Yugoslavia, from June 1997 to April 1998. According to multivariate logistic regression analysis, sexually transmitted diseases repeaters, in comparison with the controls, were older, more frequently divorced and widowed and without a regular partner, had more sexual partners and more sexual intercourse, and had more frequent sexual contact with people on the same day as meeting them. They also consumed alcohol, used sedatives and were prosecuted for criminal offences more frequently than the controls. The results of this study support the hypothesis that sexually transmitted diseases repeaters are different from their controls in terms of their behavioural and social characteristics.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.064
GPT teacher head0.329
Teacher spread0.266 · 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 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

Citations45
Published2000
Admission routes1
Has abstractyes

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