Bibliographic record
Abstract
Autoimmune hepatitis (AIH) is an important entity within the broad spectrum of autoimmune hepatobiliary disease comprised of AIH, primary biliary cirrhosis (PBC) and primary sclerosing cholangitis (PSC). Since the 1960s, AIH has been investigated with extensive clinical research aimed at effective therapeutic intervention. It was one of the first liver diseases where treatment was demonstrated to prolong survival. AIH occurs in children, as well as in adults. Its clinical manifestations in children may differ from classic adult AIH. These differences have elucidated certain aspects of AIH and hepatobiliary disease in general. There are two major patterns of AIH: type 1, with anti-smooth muscle antibodies and type 2, with anti-liver/kidney microsomal antibodies. The second type of AIH was first identified in children and is more common in younger patients. AIH often presents as acute disease in children and also in adults: the nomenclature has dropped the allusion to chronicity. Some children who have sclerosing cholangitis present with clinical disease closely resembling AIH; this AIH-like PSC, termed autoimmune sclerosing cholangitis (ASC), is also found in adults. Children with AIH may have identifiable monogenic disorders of immune regulation such as autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy (APECED). Like adults with AIH, children with AIH usually respond very favourably to immunosuppressive treatment with corticosteroids ± azathioprine. True cures seem to be rare, although many children achieve a stable remission. Nonetheless children with AIH may develop cirrhosis and some require liver transplantation. Early diagnosis and improved treatment strategies may further improve the outlook for children with AIH.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".