Bibliographic record
Abstract
Hunting many types of wild game is an avidly pursued outdoor activity that attracts all ages and both genders at various times of the year. Deer hunting is a popular sport in many regions of North America. A variety of weapons are used in the hunting, trapping, and killing of game. As a variety of different modalities are used, myriad types of injuries unique to the type of hunting can occur. Most deer hunting-related fatalities identified at the Office of the Chief Medical Examiner in Kentucky are accidental firearm injuries. Less commonly encountered are fatalities resulting from elevation of the hunter in a tree stand, often associated with poor design or construction of the perch. We present 2 tree stand-related deaths. One victim died of positional asphyxia due to reverse suspension from a hunting tree stand. The second victim died of multiple blunt force injuries sustained in a 20-foot fall from a tree stand. We summarize the features of morbidity and mortality related to deer hunting based on investigations by the Office of the Chief Medical Examiner.
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.
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 | 0.001 | 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 | 0.002 |
| 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".