A toddler with a subdural hemorrhage
Bibliographic record
Abstract
A healthy 15-month-old male presents to a community hospital with a 4-day history of lethargy, vomiting, and decreased appetite. There is no report of fever, infectious symptoms, or trauma. He appears tired and dehydrated. Blood pressure is 107/67, heart rate is 94 bpm, and temperature is 36.8°C. Examination reveals normal cardiac, respiratory, and abdominal examinations, no focal neurologic deficits and no skin rashes or bruises. He is given oral rehydration and paediatrics is consulted for admission. When the paediatrician arrives, the patient wakes and cannot open his right eye. His right pupil is fixed and dilated and his blood pressure and heart rate are now 121/60 and 80 bpm, respectively. Increased intracranial pressure is suspected so a 5 mL/kg bolus of 3% saline is given and a CT head is done, which shows a large right subdural hemorrhage (SDH) with mass effect and parenchymal effacement (Figure 1). The patient is transferred to a tertiary centre for surgical intervention and consultation with the hospital child maltreatment team. Preliminary bloodwork is drawn and results are shown in Table 1. Further information confirms 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".