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Record W4394622376 · doi:10.1080/00952990.2024.2308789

Granulocyte-colony stimulating factor use in alcohol-associated hepatitis: is it time to promote liver regeneration?

2024· letter· en· W4394622376 on OpenAlexaff
Luis Antonio Díaz, Juan Pablo Arab, Lorenzo Leggio

Bibliographic record

VenueThe American Journal of Drug and Alcohol Abuse · 2024
Typeletter
Languageen
FieldMedicine
TopicAlcohol Consumption and Health Effects
Canadian institutionsLondon Health Sciences CentreWestern University
FundersFondo Nacional de Desarrollo Científico y TecnológicoNational Institutes of Health
KeywordsRegeneration (biology)Granulocyte colony-stimulating factorAlcoholic hepatitisLiver regenerationGranulocyteAlcoholMedicineHepatitisImmunologyVirologyBiologyInternal medicineCell biologyBiochemistryAlcoholic liver diseaseCirrhosis

Abstract

fetched live from OpenAlex

Severe alcohol-associated hepatitis (sAH) is a life-threatening condition characterized by an abrupt onset of jaundice, malaise, decompensated liver disease, coagulopathy, and a Model of End-stage ...

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)0.001
metaresearch head score (Gemma)0.009
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.027
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0270.015
Insufficient payload (model declined to judge)0.0050.005

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 head0.064
GPT teacher head0.342
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
GenreCommentary

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

Citations1
Published2024
Admission routes1
Has abstractyes

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