Space and Habitat Use by Male and Female Raccoons, <em>Procyon lotor</em>, in Kansas
Bibliographic record
Abstract
We monitored 12 radio-tagged adult Raccoons (Procyon lotor) from an unexploited population in northeastern Kansas to determine intersexual differences in space and habitat use. Home ranges (mean ± SE) of males were relatively large (266 ± 14 ha) and mutually exclusive, whereas home ranges of females were relatively small (122 ± 52 ha) and overlapped extensively. Sizes of home ranges were smaller (P < 0.05) in winter than summer for both sexes, although females reduced their home ranges more than males. Females used more grassland habitats than males during summer (P < 0.05), whereas males used more grassland habitats than females during winter (P < 0.05). Seasonal differences in habitat selection was detected for females (P < 0.05), but not males. Intersexual differences in space and habitat use were likely related to different behavioral strategies employed by male and female Raccoons.
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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 | 0.000 |
| 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 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".