Validation of the Sainte-Justine Head Trauma Pathway for children younger than two years of age
Bibliographic record
Abstract
Summary The Sainte-Justine Head Trauma Pathway helps physicians’ decision-making in the evaluation of head trauma in young children. We evaluated the pathway to identify clinically important traumatic brain injury (ciTBI) among children younger than two years who presented to a pediatric emergency department for a head trauma. The primary outcome was ciTBI, defined as a TBI complicated by death, neurosurgery, intubation or hospitalization for more than one night. Among 2258 children, we reviewed the charts of all hospitalized children (n = 100) and a random sample of nonhospitalized children (n = 101) and found a ciTBI in 26 patients. The Sainte-Justine Head Trauma Pathway and the Pediatric Emergency Care Applied Research Network Pediatric Head Injury Prediction Rule both had a sensitivity of 96% (95% confidence interval 81%–100%). We found that the Sainte-Justine Head Trauma Pathway does not improve the identification of ciTBI among young children with head trauma.
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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 | 0.004 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".