Endosonographic and ERCP findings in COVID-19 critical illness cholangiopathy
Bibliographic record
Abstract
A 56-year-old female developed deep jaundice months after struggling with critical illness due to COVID-19, requiring hemodialysis and tracheostomy. Lab tests included alkaline phosphatase 1,574 U/l, total bilirubin 11 mg/dl, alanine transaminase (ALT) 88 U/l and aspartate aminotransferase (AST) 101 U/l. Baseline liver tests were normal before illness. Anti-nuclear antibodies (ANA), IgG4 level and viral hepatitis were negaCritical illness cholangiopathy resulted in secondary sclerosing cholangitis. In this case, it is unclear whether the patient suffered these changes as a direct cause of COVID-19 or as a result of critical illness cholangiopathy. The overall prognosis is guarded given its progressive nature and likely need for liver transplantation.tive.
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How this classification was reachedexpand
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".