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Record W2514263904 · doi:10.1093/cid/ciw579

Efficacy and Safety of Sofosbuvir/Velpatasvir in Patients With Chronic Hepatitis C Virus Infection Receiving Opioid Substitution Therapy: Analysis of Phase 3 ASTRAL Trials

2016· article· en· W2514263904 on OpenAlexaff
Jason Grebely, Gregory J. Dore, Stefan Zeuzem, Richard Aspinall, Raymond G. Fox, Lingling Han, John McNally, Anu Osinusi, Diana M. Brainard, G. Mani Subramanian, Macky Natha, Graham R. Foster, Alessandra Mangia, Mark Sulkowski, Jordan J. Feld

Bibliographic record

VenueClinical Infectious Diseases · 2016
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsToronto Liver Centre
FundersNational Institute on Drug AbuseNational Institutes of HealthAustralian GovernmentGilead Sciences
KeywordsMedicineSofosbuvirRegimenHepatitis C virusHepatitis CInternal medicineOpioidVirologyRibavirinVirus

Abstract

fetched live from OpenAlex

In this analysis of the ASTRAL trials (non-opioid substitution therapy [OST], n = 984; OST, n = 51) evaluating the once-daily, pan-genotypic regimen of sofosbuvir/velpatasvir for hepatitis C virus infection, OST did not impact completion, adherence, sustained virologic response (SVR12), or safety. SVR12 was 96% (95% confidence interval, 87%, >99%) in those receiving OST.

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)0.006
Version: codex-gemma-dda1882f352aValidation 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 score0.233
Threshold uncertainty score0.720

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.062
GPT teacher head0.414
Teacher spread0.351 · 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 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

Citations92
Published2016
Admission routes1
Has abstractyes

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