Bibliographic record
Abstract
Microtus pinetorum (Le Conte, 1830) Woodland Vole Microtus pinetorum has a patchy distribution in eastern, central, and western Oklahoma (Caire et al. 1989). Since Caire et al. (1989), new specimen records have been reported for 17 counties: Love County (Stangl et al. 1992); Washita County (Clark and Tumlison 1992); Le Flore County (Lutterschmidt et al. 1996); Johnston, Kiowa, Major, McIntosh, Nowata, and Seminole counties (Braun and Revelez 2005); Alfalfa, Custer, Dewey, Garfield, Kay, Mayes, and Ottawa counties (McDonald et al. 2006); and Haskell County (McAllister and Loucks 2014). New county records are reported for Ellis and Okfuskee counties. Specimen records (3). —Ellis County (1): 20.1 km S, 8 km E Arnett, Packsaddle Wildlife Management Area, 1 (OMNH 39417). Okfuskee County (2): near Weleetka, 2 (UCOCV-MAM 4802, 4805).
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 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.007 | 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".