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Record W3111050887 · doi:10.1016/s0140-6736(20)32666-0

Long-acting cabotegravir and rilpivirine dosed every 2 months in adults with HIV-1 infection (ATLAS-2M), 48-week results: a randomised, multicentre, open-label, phase 3b, non-inferiority study

2020· article· en· W3111050887 on OpenAlexaff
Edgar T. Overton, Gary Richmond, Giuliano Rizzardini, Hans Jaeger, Catherine Orrell, Ф. И. Нагимова, Fritz Bredeek, Miguel García Deltoro, Susan Swindells, Jaime Andrade‐Villanueva, Alexander Wong, Marie-Aude Khuong-Josses, Rodica Van Solingen‐Ristea, Veerle Van Eygen, Herta Crauwels, Susan L. Ford, Christine L. Talarico, Paul Benn, Yuanyuan Wang, Krischan J Hudson, Vasiliki Chounta, Amy Cutrell, Parul Patel, Mark S. Shaefer, David A. Margolis, Kimberly Y. Smith, Simon Vanveggel, William Spreen

Bibliographic record

VenueThe Lancet · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsUniversity of Saskatchewan
FundersViiV Healthcare
KeywordsRilpivirineMedicineHuman immunodeficiency virus (HIV)Internal medicineEmtricitabineTenofovirOpen labelClinical trialVirologyAntiretroviral therapyViral load

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.002

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 head0.038
GPT teacher head0.317
Teacher spread0.279 · 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 designRandomized trial
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

Citations364
Published2020
Admission routes1
Has abstractno

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Same venueThe LancetSame topicHIV Research and TreatmentFrench-language works237,207