MétaCan
Menu
Back to cohort
Record W2968381348 · doi:10.1097/jxx.0000000000000274

Avoiding missed opportunities to screen for HIV

2019· article· en· W2968381348 on OpenAlexaff
Patrick O’Byrne, Lauren Orser

Bibliographic record

VenueJournal of the American Association of Nurse Practitioners · 2019
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of OttawaOntario HIV Treatment Network
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)MedicineEpidemiologyTransmission (telecommunications)HIV diagnosisFamily medicineIntensive care medicineAntiretroviral therapyPathologyViral load

Abstract

fetched live from OpenAlex

HIV transmission is ongoing, primarily among men who have sex with men, injection drug users, and persons from HIV endemic regions. One prevention strategy has been prompt HIV diagnosis. Undermining these efforts is that some persons are diagnosed with HIV late in their infection because practitioners missed the diagnosis. In this article, the authors review the epidemiology and pathophysiology of HIV/AIDS, and provide a recommended clinical approach: (1) continue to screen persons who belong to the groups that are at-risk for HIV, and (2) appropriately rule out HIV infection in persons who present with HIV and AIDS-like symptoms.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
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)0.0000.000

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 head0.043
GPT teacher head0.362
Teacher spread0.318 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations4
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American Association of Nurse PractitionersSame topicHIV/AIDS Research and InterventionsFrench-language works237,207