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Record W2051840430 · doi:10.2174/1570162x11311030009

Barriers to Participation in Actual HIV Vaccine Trials

2013· article· fr· W2051840430 on OpenAlexaff
Shayesta Dhalla, Gary Poole

Bibliographic record

VenueCurrent HIV Research · 2013
Typearticle
Languagefr
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHIV vaccineHuman immunodeficiency virus (HIV)Clinical trialVaccine trialMedicineFamily medicinePathology

Abstract

fetched live from OpenAlex

Cognitive barriers to participation in actual HIV vaccine trials have not been previously comprehensively reviewed. In this review article, barriers in actual early phase, phase 2B, and phase 3 HIV vaccine trials are quantified and categorized, and compared between the Organization for Economic Co-operation and Development (OECD) countries and the non-OECD countries. Participation rates were standardized to allow for comparisons. In both the OECD and the non-OECD countries, barriers included subjective norms and discrimination, vaccine safety concerns, and logistical concerns. More actual HIV vaccine trials can incorporate questions about and quantify barriers to participation, and this may aid future recruitment strategies.

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)0.107
metaresearch head score (Gemma)0.283
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.567

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1070.283
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.779
GPT teacher head0.698
Teacher spread0.081 · 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

Citations8
Published2013
Admission routes1
Has abstractyes

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