Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cytochrome P-450 (CYPs) are involved in the metabolism of drugs, chemicals and endogenous substrates. The hepatic CYPs are also involved in the pathogenesis of several liver diseases. CYP-mediated activation of drugs to toxic metabolites induces hepatotoxicity. Well-known examples include acetaminophen and halothane. In some instances, covalent binding of the toxic metabolite to CYP leads to the formation of anti-CYP antibodies and immune-mediated hepatotoxicity (hydralazine, tienilic acid). Anti-CYP2D6 antibodies are also present in the serum of patients with type II autoimmune hepatitis, but the mechanism leading to their presence and their pathogenic significance remains unclear. Several studies support a role for CYP2E1 in the pathogenesis of alcoholic liver disease and non-alcoholic steatohepatitis. In these conditions, enhanced CYP2E1 activity is associated with lipid peroxidation and the production of reactive oxygen species with secondary damage to cellular membranes and mitochondria. Because of its ability to activate carcinogens, a role for CYP2E1 as a cofactor for hepatocellular carcinoma has also been postulated. On the other hand, drug metabolism is impaired in patients with liver disease, particularly that mediated by CYPs. The content and activity of CYP1A, 2C19 and 3A appear to be particularly vulnerable to the effect of liver disease while CYP2D6, 2C9 and 2E1 are less affected. The pattern of CYPs isoenzymes alterations also differs according to the etiology of liver disease. A strong relationship between the activity of CYPs and the severity of cirrhosis has been demonstrated, but the usefulness of measuring CYP activity to assess hepatic functional reserve remains uncertain.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it