Hawaii Island Hawaiian hoary bat foraging location data 2004-2010
Bibliographic record
Abstract
Hawaiian hoary bats (Lasiurus cinereus semotus) on Hawaii island were surveyed intermittently from 2004-2010. This data release is a single table of resulting bat location estimates, including date, time, coordinates for each location, and presumed bat activity at the time of collection. Nightly movements were documented for 30 Hawaiian hoary bats along the windward (eastern) side of the island of Hawaii. Each bat was fitted with a colored, split ring forearm band (Size X3; A. C. Hughes, Hampton Hill, United Kingdom) for long-term individual recognition and with a radiotransmitter (BD-2C model from Holohil Systems, Carp, Ontario, Canada). Bats were then released at the point of capture. Output from the transmitters was monitored with tracking receivers and 3-element Yagi antennae. Tracking stations were established at points within 5-300 m of activity centers for each bat and the tracking station coordinates recorded using Garmin GPS 12XL units (Garmin Corporation, Olathe, Kansas). Receiver stations were moved as necessary to improve reception. For a flying bat, bat locations were derived from a single bearing and signal strength (from Bonaccorso et al. 2015). References: Bonaccorso, F. J., C. M. Todd, A. C. Miles, and P. M. Gorresen (2015). Foraging range movements of the endangered Hawaiian hoary bat, Lasiurus cinereus semotus (Chiroptera: Vespertilionidae). Journal of Mammalogy 96:64-71.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.005 | 0.002 |
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".