MétaCan
Menu
Back to cohort
Record W1967477962 · doi:10.1371/journal.pmed.0030094

Enrolling Women into HIV Preventive Vaccine Trials: An Ethical Imperative but a Logistical Challenge

2006· article· en· W1967477962 on OpenAlexafffund
Edward J. Mills, Stephanie Nixon, Sonal Singh, Sonam Dolma, Anjali Nayyar, Sushma Kapoor

Bibliographic record

VenuePLoS Medicine · 2006
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsYork UniversityMcMaster University
FundersOntario HIV Treatment Network
KeywordsHIV vaccineHuman immunodeficiency virus (HIV)MedicineAIDS VaccinesPre-exposure prophylaxisClinical trialFamily medicineAlternative medicineVirologyEnvironmental healthVaccine trialMen who have sex with menInternal medicine

Abstract

fetched live from OpenAlex

The Policy Forum allows health policy makers around the world to

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)0.234
metaresearch head score (Gemma)0.264
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.234
Threshold uncertainty score0.944

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2340.264
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0040.014
Scholarly communication0.0080.008
Open science0.0030.006
Research integrity0.0230.025
Insufficient payload (model declined to judge)0.0040.002

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 head0.471
GPT teacher head0.574
Teacher spread0.103 · 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.

Study designTheoretical or conceptual
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

Citations61
Published2006
Admission routes2
Has abstractyes

Explore more

Same venuePLoS MedicineSame topicEthics in Clinical ResearchFrench-language works237,207