A Herpetofaunal Survey of the Confluence of the Canadian and Arkansas Rivers: Constructing a Baseline Inventory for the Sequoyah National Wildlife Refuge
Bibliographic record
Abstract
Oklahoma has a long herpetological history, but there are still many gaps in our un-derstanding of amphibian and reptile distribution in the state. From 2000 to 2002, we conducted baseline herpetofaunal inventories in the Sequoyah National Wildlife Refuge in Haskell, Muskogee, and Sequoyah counties. We observed 11 amphibian species and 35 reptile species on the refuge. Based on historic records, an additional 21 species of amphibians and reptiles occur in the three counties sampled. These additional species may still yet be observed on the refuge. When compared to historic observations, our inventory on the refuge could account for ≤ 37 county distributional records. Our results also indicate the importance of riparian corridors to maintaining herpetological diversity. © 2006 Oklahoma Academy of Science
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".