Body size of raccoons (<i>Procyon lotor</i>) introduced in west-central Hokkaido, Japan: evaluation using two spatial scales
Bibliographic record
Abstract
Evaluating body size as an indicator of life history traits is essential for the proper management of invasive species. The body size of alien species may change due to differing climates at the latitudinal scale and presence of anthropogenic food at a regional scale; however, only few studies have examined spatial variation in body size of alien carnivores at two spatial scales. In this study, we evaluated the body size of adult raccoons ( Procyon lotor (Linnaeus, 1758)) inhabiting Hokkaido, Japan, by comparing populations from different latitudes. Second, we examined the contribution of anthropogenic food (i.e., residential areas, crop field areas, and livestock farm density) to variations in body size in our study area in west-central Hokkaido. Using body mass as an index of body size, we found that body size did not change along latitudinal clines. Thus, the body mass of omnivorous carnivores may be unaffected by climatic variations. On a regional scale, anthropogenic food did not affect the body mass of raccoons. Thus, anthropogenic food is only supplemental for raccoons in our study area, if at all. We conclude that implementing culling programs are essential for effectively managing invasive species, rather than preventing their consumption of anthropogenic food.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".