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Record W4248974521 · doi:10.1002/hep.27533

Poster Session 4: Hepatitis C: New Agents (Not Approved)

2014· article· en· W4248974521 on OpenAlexfundno aff

Bibliographic record

VenueHepatology · 2014
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsnot available
FundersCilagFeinberg School of MedicineUniversity of North Carolina at Chapel HillMedical Center, University of PittsburghWeill Cornell Medical CollegeŚląski Uniwersytet Medyczny w KatowicachUniversità di BolognaSeconda Università degli Studi di NapoliNorthwestern UniversityPfizerUniwersytet Śląski w KatowicachKarolinska InstitutetUniversity of QueenslandBursa Uludağ ÜniversitesiUniversity of AlbertaGenentechSahlgrenska UniversitetssjukhusetGilead SciencesVirginia Commonwealth UniversityUniversity of California, San DiegoUniversity of TorontoSaint Louis UniversityKaiser PermanenteJohns Hopkins UniversityBoehringer IngelheimGlaxoSmithKlineLiver Center, Saint Louis UniversityGallipoli Medical Research FoundationUniversity of PittsburghBristol-Myers Squibb
KeywordsSession (web analytics)MedicineHepatitis CVirologyPharmacologyComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

analysis in patients switched to TDF or added TDF, the cumulative probability of CVR was 93.1% at 6 months of therapy. Conclusion: TDF therapy is effective for achieving CVR in ETV PVR patients. We should consider TDF therapy in patients with PVR, if patient have NUC-experience or HBV DNA is above 177 IU/ml at the time of PVR.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.003

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 head0.053
GPT teacher head0.347
Teacher spread0.294 · 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; both teacher heads agree on what is shown here.

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
Published2014
Admission routes1
Has abstractyes

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