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Record W3048139705 · doi:10.1016/j.cgh.2020.08.006

Measurement of Gamma Glutamyl Transferase to Determine Risk of Liver Transplantation or Death in Patients With Primary Biliary Cholangitis

2020· article· en· W3048139705 on OpenAlexafffund
Alessio Gerussi, Davide Paolo Bernasconi, Sarah Elisabeth O’Donnell, Willem J. Lammers, Henk van Buuren, Gideon M. Hirschfield, Harry L.A. Janssen, Christophe Corpechot, A. Reig, Albert Parés, Pier Maria Battezzati, Massimo Giovanni Zuin, Nora Cazzagon, Annarosa Floreani, Frederik Nevens, Nikolaos Gatselis, George Ν. Dalekos, Marlyn J. Mayo, Douglas Thorburn, Tony Bruns, Andrew L. Mason, Xavier Verhelst, Kris V. Kowdley, Adriaan van der Meer, Grazia Anna Niro, Benedetta Terziroli Beretta‐Piccoli, Marco Marzioni, L Belli, Fabio Marra, Maria Grazia Valsecchi, Keith D. Lindor, Pietro Invernizzi, Bettina E. Hansen, Marco Carbone

Bibliographic record

VenueClinical Gastroenterology and Hepatology · 2020
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsUniversity of AlbertaToronto Western HospitalUniversity of TorontoUniversity Health Network
FundersAmerican Medical Association FoundationInventiva PharmaMinistero della SaluteCanadian Liver FoundationAlberta Heritage Foundation for Medical ResearchJanssen PharmaceuticalsGilead SciencesCanadian Institutes of Health ResearchMinistero dell’Istruzione, dell’Università e della RicercaNovartisMerckGlaxoSmithKline
KeywordsMedicineLiver transplantationInternal medicineGamma-glutamyltransferaseGastroenterologyTransferaseTransplantationEnzymeBiochemistry

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)0.001
metaresearch head score (Gemma)0.003
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.279
Teacher spread0.234 · 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

Citations56
Published2020
Admission routes2
Has abstractno

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