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Record W4225384989 · doi:10.14309/ajg.0000000000001704

Correction to: The MELD Score Is Superior to the Maddrey Discriminant Function Score to Predict Short-Term Mortality in Alcohol-Associated Hepatitis: A Global Study

2022· erratum· en· W4225384989 on OpenAlexaff
Dalia Morales‐Arráez, Meritxell Ventura‐Cots, José Altamirano, Juan G. Abraldeṣ, M. Cruz‐Lemini, Mark Thursz, Stephen R. Atkinson, Shiv Kumar Sarin, Woo‐Jae Kim, Roberta Chavez-Araujo, Fatima Higuera‐de la Tijera, Ashwani K. Singal, Vijay H. Shah, Patrick S. Kamath, Andrés Duarte‐Rojo, Emmanuelle Charles, Vı́ctor Vargas, Marion Jäger, Pierre‐Emmanuel Rautou, Diego Rincón, Felipe Zamarripa, J.C. Restrepo-Gutiérrez, Aldo Torre, Michael R. Lucey, Juan Pablo Arab, P. Mathurin, Alexandre Louvet, G. García-Tsao, Jose A. Gonzalez, Elizabeth C. Verna, RICHARD BROWN, Josepmaria Argemí, Carlos Fernández‐Carrillo, Ana Clemente, Edilmar Alvarado‐Tápias, Ewan Forrest, M. Allison, Ramón Bataller

Bibliographic record

VenueThe American Journal of Gastroenterology · 2022
Typeerratum
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsUniversity of Alberta
FundersMedical Research Council
KeywordsMedicinePhysics

Abstract

fetched live from OpenAlex

International audience

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 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)0.004
metaresearch head score (Gemma)0.075
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.069
Threshold uncertainty score0.231

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.075
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0040.003
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0030.001
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0690.035

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 head0.027
GPT teacher head0.305
Teacher spread0.278 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations20
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueThe American Journal of Gastroenterology→Same topicLiver Disease Diagnosis and Treatment→French-language works237,207→