Home and Other Nontraffic Injuries Among Children and Youth in a High-Income Middle Eastern Country
Bibliographic record
Abstract
A trauma registry in the United Arab Emirates was used to ascertain nontraffic injuries of 0- to 19-year-olds. The registry's value for prevention was assessed. A total of 292 children and youth with nontraffic injuries were admitted for >24 hours at surgical wards of the main trauma hospital in Al Ain region during 36 months in 2003-2006. Injuries were analyzed by external cause, location, body part, and severity. Nontraffic represented 60% (n = 292) of child and youth injuries. Incidence/100 000 person-years was 91 for males, 43 for females. Unintentional included falls 65% (n = 191), burns 17% (n = 49), animal-related (mainly camel) 3% (n = 10), and others 10% (n = 29). Intentional accounted for 4% (n = 13). Falls affected all ages, burns mainly 1- to 4-year-olds. Of the injuries, 70% occurred at home. Most frequent and severe injuries measured by the Injury Severity Score and Abbreviated Injury Scale involved extremities. Prevention of home falls for all ages and burns of 1- to 4-year-olds are priorities. Registries should cover pediatric wards and include data on fall locations and hazardous products.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".