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Record W31773153 · doi:10.1016/j.jped.2018.08.001

Autoimmune hepatitis in children

2018· letter· en· W31773153 on OpenAlexaff
Fernando Álvarez

Bibliographic record

VenueJornal de Pediatria · 2018
Typeletter
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineAutoimmune hepatitisAutoantibodyImmunologyHepatitisAntibodyPrimary biliary cirrhosisPathology

Abstract

fetched live from OpenAlex

Autoimmune hepatitis (AIH) is a disease of unknown aetiology, in which a progressive destruction of the hepatic parenchyma occurs. This disease follows a chronic, but fluctuating course. AIH spontaneously progresses towards cirrhosis and liver failure, but often shows a relatively good response to immunosuppressive treatment1. It is characterized by a female preponderance, marked hyper-gammaglobulinaemia, circulating autoantibodies, low levels of complement factor 4 and a high prevalence of HLA B8 and DR3 and DR4 haplotypes1. Other autoimmune disorders are frequently found in patients with AIH as well as in first-degree relatives1-3. These clinical and laboratory observations led to the hypothesis that AIH is a multifactorial disease. Autoimmune associated disorders are of B and T lymphocyte origin, and other anomalies of the immune system, such as low levels of circulating IgA, are not uncommon. Two types of AIH are currently recognized according to the nature of the autoantibody detected in children at the time of diagnosis. Patients with AIH type 1 display anti-smooth muscle antibodies (SMA) and/or anti-nuclear antibodies (ANA) in their sera. AIH type 2 is characterized by anti-liver kidney microsome (LKM1) and/or anti-liver cytosol type 1 antibodies (LCl)2,3.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.745
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.008
GPT teacher head0.245
Teacher spread0.237 · 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 teacher head, not a consensus.

Study designObservational
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

Citations10
Published2018
Admission routes1
Has abstractyes

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