Fatty liver in a non-obese patient
Bibliographic record
Abstract
A 15-year-old male with a body mass index of 19.5 kg/m2 (25th percentile) presented with asymptomatic elevated liver enzymes found on routine bloodwork; alanine transaminase was 98 U/L (upper normal limit: 55 U/L) and aspartate transaminase was 52 U/L (upper normal limit: 50 U/L). Complete blood count was normal without acanthocytes. Physical examination was normal except for an enlarged thyroid gland. There was no history of nausea, abdominal pain, diarrhea, systemic complaints or neurological symptoms. He denied alcohol intake or recreational drug use and was on no medications. Repeat transaminase levels over a 4-month period persisted slightly elevated with normal gamma glutamyltransferase, alkaline phosphatase and bilirubin levels. Further investigations for underlying liver disease including Wilson’s disease, autoimmune hepatitis, viral aetiologies and alpha-1 antitrypsin deficiency were negative. A liver ultrasound demonstrated coarse echogenicity without focal lesions, consistent with fatty infiltration. MRI suggested fatty liver without biliary duct pathology. A liver biopsy revealed nonalcoholic steatohepatitis (NASH) with fibrosis and early cirrhosis. Further investigations suggested the underlying diagnosis.
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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".