Food Habits of Ermine, <em>Mustela erminea</em>, in a Forested Landscape
Bibliographic record
Abstract
Most research pertaining to the diet of North American weasels has been conducted in agricultural areas and may not be representative of diets in forested regions. Ermine carcasses (N = 155) collected from trappers during a two-week harvest (16-30 November 1996) in forested New Brunswick were analyzed for food habits. The contents of 81 stomachs and 98 gastrointestinal tracts (N = 179) were considered as separate eating events and used in the calculation of the percent frequency of occurrence. Results suggest that soricids (28.0%), arvicolines (24.6%), and cricetines (17.3%) comprised two-thirds of their autumn diet. At a species or genus level, the Deer Mouse (Peromyscus maniculatus) (17.3%) and shrews (Sorex spp.) (28.0%) were shown to have the highest percent occurrence. Squirrels, including the Red Squirrel (Tamiasciurus hudsonicus) and the Eastern Chipmunk (Tamius striatus), comprised 11.2% of the Ermine’s diet; a value higher than has previously been reported.
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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 | 0.001 | 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".