An analysis of natural factors of traffic accidents involving Yezo deer (Cervus nippon yesoensis).
Why this work is in the frame
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Bibliographic record
Abstract
In Hokkaido, Japan, the number of Yezo deer (Cervus nippon yesoensis) has recently increased drastically,\ncausing a large number of deer-vehicle traffic accidents. This paper examines conditions related\nto deer-vehicle traffic accidents by analysing the following relationships: time of accident and\nlunar phase; time of accidents and time of sunrise/sunset; likelihood of accidents and rainfall patterns,\ntemperature and season (particularly snow and hunting seasons). The results suggest that the potential\nfor deer-vehicle traffic accidents increases during hunting and non-snow seasons when there is little\nor no rainfall, just before sunrise or just after sunset, or during a full, first quarter, or third quarter\nmoon. A statistically significant relationship between temperature and deer-vehicle traffic accidents\nwas not detected.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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 it