Cellular and molecular mechanisms of alcoholic hepatitis
Bibliographic record
Abstract
The National Institute on Alcohol Abuse and Alcoholism and the Office of Rare Diseases, National Institutes of Health, sponsored a satellite symposium on "Cellular and Molecular Mechanisms of Alcoholic Hepatitis" at the 24th Annual Scientific Meeting of the Research Society on Alcoholism, Montreal, Quebec, Canada, June 2001. Alcohol intake is a major cause of hepatitis that may lead to alcoholic cirrhosis-a major cause of death in the United States. In up to one third of heavy drinkers alcoholic hepatitis develops, which is characterized by liver cell death and infiltration of leukocytes in hepatic parenchyma. Although leukocytes have been implicated in the pathogenesis of alcoholic hepatitis, the underlying cellular and molecular mechanisms by which leukocytes migrate to hepatic parenchyma and initiate tissue injury are not clear. For this symposium, 10 speakers were invited to address the following aspects of the mechanisms of alcoholic hepatitis: role of Kupffer cells in initiating the process of alcoholic hepatitis; types of leukocytes involved in the pathogenesis of alcoholic hepatitis; chemokines that are responsible for the attraction of leukocytes; adhesion molecules that promote the attachment of leukocytes to the endothelial cells and hepatocytes; mechanisms of leukocyte transmigration to hepatic parenchyma; mechanisms by which leukocytes initiate tissue injury; and interactive effects of alcohol and hepatitis viral proteins on liver injury. This article provides an introduction to the problem and a summary of the 10 scientific presentations delivered at the symposium.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".