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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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) | 0.001 | 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 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".