Space-use patterns by female striped skunks exposed to aggregations of simulated duck nests
Bibliographic record
Abstract
We monitored space-use patterns and behaviour of female striped skunks (Mephitis mephitis) during the spring and summer of 1995 simultaneously with the deployment of simulated duck nests (2.525/ha) in Saskatchewan, Canada. In 1995, home ranges of five female skunks averaged 2.3 km2 (SE = 0.5 km2), which was smaller (P = 0.01) than home ranges of females (n = 21) present in the same area in 19931994. Home-range overlap did not differ (P = 0.34) between 19931994 (71 ± 4%) and 1995 (75 ± 11%). Female skunks were nocturnal during all years, but were less active in 1995 than in 19931994 (P < 0.01). Patterns of habitat selection differed during the nest experiment: managed waterfowl-nesting areas were used less than wetlands in 19931994, but no significant difference in use of these two habitats was detected in 1995. Although we cannot ascertain a direct cause-and-effect relationship, owing to a possible year effect, the changes in space-use patterns of striped skunks exposed to aggregations of simulated nests are consistent with the literature on food-supplementation experiments. These results re-emphasize the importance of food in determining the space-use patterns of striped skunks.
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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 | 0.000 | 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 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".