Bibliographic record
Abstract
Lasiurus borealis (Müller, 1776) Eastern Red Bat Lasiurus borealis is associated with eastern deciduous forests throughout North America. Caire et al. (1989) reported records of this species in 39 counties located statewide and records based on observation for three additional counties. Subsequent records were reported for Cimarron County (Dalquest et al. 1990), Caddo and Ellis counties (Roehrs et al. 2008), and Nowata and Rogers counties (Eguren and McBee 2013). New records are reported in central Oklahoma for Canadian, Creek, Garvin, McClain, Pottawatomie, and Stephens counties. Specimen records (15).—Canadian County (5): no specific locality, 5 (UCOCV-MAM 5489-5493). Creek County (1): no specific locality, 1 (UCOCV-MAM 7330). Garvin County (2): no specific locality, 2 (UCOCV-MAM 4423, 4428). McClain County (1): no specific locality, 1 (UCOCV-MAM 5504). Pottawatomie County (5): no specific locality, 3 (UCOCV-MAM 4635-4636, 4641); Shawnee, 1 (UCOCV-MAM 4637); 13.7 km NW Shawnee, 1 (UCOCV-MAM 4640). Stephens County (1): no specific locality, 1 (UCOCV-MAM 5499).
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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".