Pedestrian Fatalities Associated With Halloween in the United States
Bibliographic record
Abstract
differences in ED diagnoses was determined by the adjusted F, a variant of the second-order Rao-Scott adjusted 2 statistic. sults | Among the total population of 8 080 738 participants, 51.5% were boys, 76.0% were white, and 24.0% were Hispanic. Across all ED diagnoses, boys and girls did not have statistically significant differences in prevalence rates (Table ). Across all ED diagnoses, the overall prevalence rate was 1.4% (95% CI, 1.0%-1.8%). The prevalence of any OSFED diagnosis was 0.7% (95% CI, 0.5%-1.0%). The prevalence of AN was 0.1% (95% CI, 0.0%-0.3%). No cases of BN were present in this sample. Finally, the prevalence of BED was 0.6% (95% CI, 0.4%-0.9%).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".