A 12-year-old boy with fever and weight loss
Bibliographic record
Abstract
A 12-year-old boy was referred to a paediatric clinic for assessment of persistent fever, weight loss, and hematuria. His past medical history was significant for a complex chromosomal rearrangement, developmental delay, multiple renal and musculoskeletal abnormalities, and unrepaired structural heart disease, including a functionally bicuspid aortic valve, aortic regurgitation, and severe dilatation of the ascending aorta. He initially presented to his primary care physician with 3 days of fever and an erythematous, maculopapular rash of the lower body. There were no respiratory symptoms, sore throat, or gastrointestinal symptoms. Physical examination revealed mild erythema of the right tympanic membrane. A presumed diagnosis of acute otitis media was made, and high-dose amoxicillin was prescribed. Despite compliance with antibiotics, the patient remained febrile. He was seen in the emergency room for re-evaluation, 3 days after starting antibiotics. The family endorsed constitutional symptoms, including fatigue and documented weight loss over the last month. His tympanic membranes appeared normal. A series of investigations were completed (Table 1), and a diagnosis of a viral illness was made.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".