Autism in the Emergency Department
Bibliographic record
Abstract
BACKGROUND: This is a retrospective chart review of autistic patients presenting to the emergency department (ED) in a tertiary care pediatric center during the year 2011. RESULTS: There were 160 ED visits by 130 patients, 25% of visits were repeated, and 20% were admitted to the hospital. There were 126 (79%) male and 34 (21%) female patients mean age of 12 years, 79% had comorbid health conditions. Forty percent were CTAS 2 (Canadian Triage Acuity Score) acuity, 42% of visits were CTAS 3 acuity, and 7% rated their pain as "severe." Visits were for behavior (10%), neurological concern (13%), 3% dental related, and the remainder were for gastrointestinal infections and other complaints. Average length of stay was 6 hours 21 minutes, with 2-hour wait to start assessment with physician. CONCLUSIONS: Autism is a prevalent diagnosis and patients with autism are accessing the ED. We hope to use these demographic findings to better serve these patients and their families.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".