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Pathogenesis of Alcoholic Liver Disease–Recent Advances

2002· article· en· W2123609276 on OpenAlexaboutno aff
Amin A. Nanji, Grace L. Su, Michael Laposata, Samuel W. French

Bibliographic record

VenueAlcoholism Clinical and Experimental Research · 2002
Typearticle
Languageen
FieldMedicine
TopicAlcohol Consumption and Health Effects
Canadian institutionsnot available
FundersNational Institutes of Health
KeywordsPathogenesisAlcoholic liver diseaseLiver injuryFatty liverMedicineEthanolReceptorLiver diseaseInternal medicineDiseaseChemistryBiochemistryCirrhosis

Abstract

fetched live from OpenAlex

The article summarizes the proceedings of a symposium on recent advances in research on the pathogenesis of alcoholic liver disease at the 2001 RSA meeting in Montreal, Canada. The chairs were Amin A. Nanji and Samuel W. French. The presentations were (1) Role of inflammatory mediators in alcoholic liver injury by Amin A. Nanji, (2) Role of endotoxin, lipopolysaccharide binding protein, CD14 and Toll receptors in alcoholic liver injury by Grace Su, (3) Fatty acid ethyl esters: toxicity, metabolism and markers of ethanol intake by Michael Laposata, and (4) Cyclic changes in gene expression when rats are fed alcohol at a constant rate by Samuel W. French.

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)0.003
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.002
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.450
GPT teacher head0.545
Teacher spread0.095 · 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
GenreReview

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

Citations43
Published2002
Admission routes1
Has abstractyes

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