All-terrain vehicle injuries in children and adolescents
Bibliographic record
Abstract
QUESTION: I know that all-terrain vehicles (ATVs) are commonly used for recreational purposes, and that recently an adolescent was injured while driving one. What are the dangers of ATV use among adolescents, and what are some preventative measures to recommend to families in my clinic to reduce ATV-related injuries in children? ANSWER: There is a disproportionately high rate of ATV accidents in children compared with adults, and the safety of ATVs has become a public health concern in recent years because of their association with increased pediatric morbidity and mortality. Children account for more than one-third of ATV-related hospitalizations and they are at an increased risk of head injuries compared with adults. Orthopedic injuries are the most common injuries sustained by children as a result of ATV use. The most common causes of injury include inexperience, inadequate physical size and muscle strength to handle the vehicle, not wearing a helmet, poor judgment, loss of control, immature motor and cognitive development, and (in older children) substance use. Medical providers should recommend ATVs be limited to those over 16 years of age and that any adolescent using an ATV wears an appropriate helmet.
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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 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".