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Record W2055732101 · doi:10.1016/j.jana.2010.09.002

HIV Infection and Contraception

2011· article· en· W2055732101 on OpenAlexaff
Jane McCall, Laura Vicol

Bibliographic record

VenueJournal of the Association of Nurses in AIDS Care · 2011
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsSt. Paul's HospitalProvidence Health Care
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)MedicineDeveloping countryFamily planningTransmission (telecommunications)Developed countryFamily medicineReproductive healthPopulationGynecologyEnvironmental healthResearch methodologyEconomic growth

Abstract

fetched live from OpenAlex

HIV infection primarily affects women of childbearing age worldwide, in both developed and developing countries. With the advent of effective antiretroviral treatment, women are living longer and healthier lives, and the opportunity to have a child with minimal fear of vertical transmission is now a reality. For HIV-infected women, contraception and reproductive planning have become essential. Limited information is available on the variety of contraceptive options for HIV-infected women. It is important for all health care practitioners to educate themselves on contraceptive options so that they can provide optimal reproductive care to their HIV-infected female patients.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0170.002

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 head0.017
GPT teacher head0.323
Teacher spread0.305 · 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 designNot applicable
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

Citations6
Published2011
Admission routes1
Has abstractyes

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