DIETS OF BATS IN COASTAL RAINFORESTS ON VANCOUVER ISLAND, BRITISH COLUMBIA
Bibliographic record
Abstract
(Uploaded by Plazi for the Bat Literature Project) 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 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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".