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Record W4238509096 · doi:10.5546/aap.2016.eng.563

Non-alcoholic fatty liver disease: a new epidemic in children

2016· article· es· W4238509096 on OpenAlexaff
Mirta Ciocca, Margarita Ramonet, Fernando Álvarez

Bibliographic record

VenueArchivos Argentinos de Pediatria · 2016
Typearticle
Languagees
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsFatty liverDiseaseAlcoholic liver diseaseMedicineGastroenterologyInternal medicineCirrhosis

Abstract

fetched live from OpenAlex

Non-alcoholic fatty liver disease is considered one of the most common causes of liver disease in adults and children, consistent with the increased prevalence of obesity in both populations worldwide. It is a multifactorial condition involving a broad spectrum of liver diseases than range from simple steatosis to steatohepatitis, and characterized by histological findings of inflammation and fibrosis. Its pathogenesis and progression are not fully understood yet, and a more complete understanding of liver disease may aid in developing new therapies and noninvasive diagnostic tools. Liver biopsy remains the gold standard for disease staging. Although lifestyle and diet modifications are the keys in non-alcoholic fatty liver disease treatment, the development of new drugs may be promising for patients failing first-line therapy.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
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 head0.015
GPT teacher head0.268
Teacher spread0.253 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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