Eight-year-old girl with hepatomegaly
Bibliographic record
Abstract
An 8-year-old girl was referred for abdominal pain and elevated liver transaminases. She was previously healthy and was not on any medications. There was no prior history of blood transfusions, toxin exposures or parenteral nutrition. Her parents were nonconsanguineous, and of French and Irish descent. Her family has no history of liver diseases but maternal and paternal grandparents have elevated cholesterol. Her weight was 25.5 kg (27th percentile), height 127 cm (21st percentile) and body mass index (BMI) was 15.8 kg/m2 (42nd percentile). On abdominal examination, both liver and spleen were enlarged. There was no scleral icterus or abnormal skin findings or xanthomatosis. Her liver enzymes revealed elevated transaminases. Total bilirubin was high at 32.7 (<17) µmol/L and direct bilirubin was 5 µmol/L. There was no coagulopathy. Abdominal ultrasound demonstrated her liver to be at near the 95th percentile while her spleen was also enlarged. Doppler study of liver vasculature was normal with no evidence of portal hypertension. Laboratory investigations are outlined in Table 1. Given the hepatomegaly, a lipid profile was performed, demonstrating elevated cholesterol of 6.11 (≤5.20) mmol/L and low HDL cholesterol of 0.83 (≥1.30) mmol/L. Further studies led to the diagnosis.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".