Pediatric Traumatic Retroclival Epidural Hematoma
Bibliographic record
Abstract
A previously healthy ten-year-old girl was involved in a high speed motor vehicle accident (MVA) in which she was the belted front-seat passenger. The patient's teeth marks on the dashboard were evidence of a high-velocity impact. Her Glasgow Coma Score on scene was 13, and she was amnestic for the event. She was subsequently transported to the emergency room in full spinal precautions; on arrival she was hemodynamically stable with a Glasgow Coma Score of 14, complaining of neck and jaw pain. Neurological examination revealed impaired abduction of the right eye, with no other focal deficits. She had oral lacerations and bruising over the mandibles bilaterally. Computed tomogram (CT) scan of the head was initially interpreted as normal, but on closer inspection demonstrated a 4mm retroclival hematoma (Figure 1). Sagittal CT through the upper cervical spine revealed the hematoma was epidural, bounded by the spheno-occipital synchondrosis superiorly and by the mid-body of the axis inferiorly (Figure 2). The odontoid was retroflexed (Figure 2). Bilateral mandibular fractures were also uncovered on facial imaging.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".