Case 2: Newborn with jaundice and “hyperglycemia”
Bibliographic record
Abstract
A nine-day-old boy was admitted to the paediatric ward of a regional hospital after a maternal-newborn clinic appointment, where he was found to be jaundiced with a total serum bilirubin of 400 μmol/L. He had been followed by the public health nurse in the community for poor weight gain in his first week of life. His weight on the day of admission was 2.52 kg, while his birth weight had been 2.81 kg. The pregnancy and family history were unremarkable, and the boy was born at term with an uncomplicated initial stay in the hospital. Breastfeeding had been established before discharge home on the second day of life and was supplemented with formula by bottle after an appointment on the fifth day at the maternal-newborn clinic, where the boy was found to have lost over 10% of his birth weight. His parents reported that he was becoming less and less interested in eating, and by the day of admission, they needed to wake him for most feeds.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| 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".