DIETS OF BATS IN COASTAL RAINFORESTS ON VANCOUVER ISLAND, BRITISH COLUMBIA
Bibliographic record
Abstract
We caught Myotis lucifugus, M. yumanensis, M. volans, M. evotis/keenii, M. californicus, and Lasionycteris noctivagans in mist nets at Mt. Cain in coastal British Columbia during 1996–1998. We analyzed their feces and determined the percent frequency of occurrence of different prey groups. Bats consumed prey from 9 prey groups. Diets varied significantly between M. californicus and M. lucifugus, but there was substantial overlap of the principal prey groups consumed by all species of bats. These principal prey groups were Diptera, Lepidoptera, Neuroptera, and Hymenoptera. Diets were similar between elevations and among seasons for both M. californicus and M. lucifugus.
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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) | 0.000 | 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".