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Record W4387485265 · doi:10.1016/s2352-3018(23)00228-x

HIV-1 drug resistance in people on dolutegravir-based antiretroviral therapy: a collaborative cohort analysis

2023· article· en· W4387485265 on OpenAlexaff
Tom Loosli, Stefanie Hossmann, Suzanne M Ingle, Hajra Okhai, Katharina Kusejko, Johannes P. Mouton, Pantxika Bellecave, Ard van Sighem, Melanie Stecher, Antonella d’Arminio Monforte, M. John Gill, Caroline Sabin, Gary Maartens, Huldrych F. Günthard, Jonathan A C Sterne, Richard Lessells, Matthias Egger, Roger D. Kouyos

Bibliographic record

VenueThe Lancet HIV · 2023
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsAlberta Hip and Knee ClinicUniversity of Calgary
FundersDivision of Cancer Epidemiology and Genetics, National Cancer InstituteEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Child Health and Human DevelopmentNational Institute on Drug AbuseFogarty International CenterNational Institute of Mental HealthNational Heart, Lung, and Blood InstituteNational Cancer InstituteNational Institute on Alcohol Abuse and AlcoholismNational Institute of Allergy and Infectious DiseasesMedical Research CouncilAgence Nationale de Recherches sur le Sida et les Hépatites ViralesMinisterie van Volksgezondheid, Welzijn en SportDeutsches Zentrum für InfektionsforschungNational Institutes of HealthSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungStyrelsen för Internationellt UtvecklingssamarbeteGilead SciencesCentre Hospitalier Universitaire de BordeauxNational Institute of Diabetes and Digestive and Kidney DiseasesViiV HealthcareNational Science Foundation
KeywordsDolutegravirMedicineCohortDrug resistanceHIV drug resistanceIntegrase inhibitorCohort studyVirologyInternal medicineAntiretroviral therapyViral loadHuman immunodeficiency virus (HIV)GeneticsBiology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.006
metaresearch head score (Gemma)0.010
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 score0.041
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.004
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.018
GPT teacher head0.283
Teacher spread0.265 · 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

Citations128
Published2023
Admission routes1
Has abstractno

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