Bibliographic record
Abstract
Canis latrans Say, 1823 Coyote Canis latrans is distributed statewide. Caire et al. (1989) reported records for most Oklahoma counties. Braun and Revelez (2005) reported a new record for Caddo County. New records are reported for Atoka, Blaine, Carter, Grant, Greer, Stephens, and Washington counties. Specimen records of this species are only lacking for the following counties: Alfalfa, Coal, Garvin, Haskell, Kay, Okfuskee, Ottawa, Seminole, and Sequoyah. Specimen records (9).—Atoka County (1): no specific locality, 1 (UCOCV-MAM 7385). Blaine County (2): 33.2 km NW Watonga on US Hwy 281, by North Canadian River, 2 (OMNH 29062-29063). Carter County (1): 1.6 km N Ardmore on Hwy 14, 1 (UCOCV-MAM 129). Grant County (1): no specific locality, 1 (OMNH 39190). Greer County (1): 16.9 km W Willow, 568 m, 1 (OMNH 66042). Stephens County (1): 4.8 km W Velma, 1 (ISM 687209). Washington County (2): no specific locality, 2 (ISM 692935-692936).
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.009 |
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".