Analysis of Pediatric Facial Dog Bites
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The aim of this study was to characterize and report the epidemiological data regarding pediatric facial dog bites. For this study, a retrospective chart review was used. This study was performed at a large tertiary pediatric hospital. All children younger than 18 years who sought medical attention after a facial dog bite between January 1, 2003, and December 31, 2008, were included. Demographic and epidemiologic data were collected and analyzed. A total of 537 children were identified. The average age was 4.59 ± 3.36 years, with a slight male preponderance (52.0%). The majority of dog bites occurred in children 5 years of age or younger (68.0%). Almost all (89.8%) of the dogs were known to the children. When circumstances surrounding the bite were documented, over half (53.2%) of the cases were provoked. The most common breeds were mixed breed (23.0%), Labrador retriever (13.7%), Rottweiler (4.9%), and German shepherd (4.4%). Inpatient treatment was required in 121 (22.5%) patients with an average length of stay of 2.96 ± 2.77 days. Children 5 years or younger were more likely to be hospitalized than older children. Children 5 years old and younger are at high risk for being bitten in the face by a familiar dog and are more likely to require hospitalization than older children. Certain dog breeds are more likely to bite, and there is often a history of provocation. There is a tremendous financial and psychosocial burden associated with dog bites, and prevention strategies should focus on education with the aid of public policies and better documentation and reporting systems.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 it