The habitat association of bats in the South Okanagan Valley, British Columbia, Canada: Radar-acoustic surveys to assess the use of vineyards by insectivorous bats (Vespertilionidae)
Bibliographic record
Abstract
British Columbia's South Okanagan has an expanding wine industry and supports the greatest diversity of bats in Canada.I surveyed bat activity in six matched pairs of vineyards and adjacent natural sagebrush habitats during the summer of 2013 using a unique radar-acoustic system, which I described and evaluated.By evaluating the characteristics of radar tracks and combining radar and acoustic data, I was able to compare bat activity over the habitats.Target parameters (height, speed, and relative size measured as Signal-to-Noise Ratio) had similar distributions in both habitats.There was no statistical difference between habitats in mean target track length per unit area or in the mean number of acoustic 'individual bat passes', nor did these measures differ between surveys in early (bat pregnancy and parturition), middle (lactation) and late summer (pup fledging).My results suggest that the amount of bat activity over vineyards and natural habitats is similar; however the use of habitat by bat species differs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".