Mapping the Western Pond Turtle (<i>Actinemys marmorata</i>) and Painted Turtle (<i>Chrysemys picta</i>) in Western North America
Bibliographic record
Abstract
We georeferenced Western Pond Turtle (Actinemys marmorata) and Painted Turtle (Chrysemys picta) locality records in western North America, compiling diverse institutional data sets, including data from 9 US states and Canadian provinces. For the entire range of the Western Pond Turtle and the western range of the Painted Turtle, we assessed counts of distinct locations from historical data, and analyzed distribution patterns temporally and spatially. Western Pond Turtle observation records were compiled from year 1850 to 2011, and Painted Turtle records were compiled from 1805 to 2011. For the Western Pond Turtle, 2935 locations were compiled range-wide; using a 500-m buffer criterion to aggregate adjacent coordinates to assess distinct localities, we consolidated these to 2111 discrete sites. We compiled 2953 locations for the Painted Turtle, which consolidated to 1219 discrete sites in the United States using the same 500-m criterion. The mapped data illustrate spatiotemporal patterns, which can be used to advance new efforts toward turtle management in northwestern North America.
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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 | 0.000 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".