Road mortality locations of small and medium-sized mammals along a partly-fenced highway in Quebec, Canada, 2012–2015
Bibliographic record
Abstract
The data presented here consist of the locations of 839 roadkill points from four years (2012-2015) of roadkill surveys for small and medium-sized mammals (under 30 kg) from a four-lane highway in Quebec (Highway 175) during the months of May to October. Seventeen species or species groups were identified, all local to the area, and none of which were identified as species at risk, threatened, or endangered. The GPS coordinates of each roadkill event are given, along with the date, time of day (morning or evening), location (northbound or southbound lanes) and species (where possible). Within the surveyed road, 18 wildlife passages with 100 m fencing on each side of the passage entrances were built for small and medium-sized mammals. The GPS coordinates of the 18 passages and the end of each corresponding fence are also provided.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".