Activity of Little Brown Bats in Coastal Forests
Bibliographic record
Abstract
Acriviry of liule brosn bats ras over 75 rimes grcater in lacustrine (lake) hahirat than in iorest of curorfr.['ee bats $ere derecred in forest and alnosr no bars in culover.tsars sere presenl all nighr $ith three peaks ofactirilv in lacuslrine habilal.B11 nclivill was nol correlated with insect densitr.lntroduction Of the 12 species of bats known from coastal British Columbia, the little brown bat (Myotis lucifugus\ is the most cornmon and widely distributed.It roosts in trees with cavities or loose bark bul readily uses buildings.Roosts provide shelter and protection, and are essential elements in the natural history of temperate bats.Much of the old growth forest containing suitable roosting habitat has been rnodified by intensive forestry practices.0ur objectives were to describe the activity patterns and habitat use of little brown bats in coastal forests.This information would identify habitats important to bats and assist in the development of management plans.
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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 | 0.001 | 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".