<strong>Genetic diversity, gene flow, and source-sink dynamics of cougars in the Pacific Northwest - Wultsch et al. 2023 - Microsatellite data of 1,903 cougars studied across Washington, United States and south-central British Columbia, Canada, 2003-2018 </strong>
Bibliographic record
Abstract
The microsatellite data table (Genalex file format) includes genotypes of 1,903 individual cougars, which were collected by the Washington Department of Fish and Wildlife across Washington, USA and south-central British Columbia, Canada between 2003 and 2018. More specifically, 615 cougar individuals were sampled in the Northern Rocky Mountains, 314 in the northern Cascades, 366 in the Puget Sound and central Cascades, 202 on the Olympic Peninsula, 238 in the southern Cascades, and 168 in the Blue Mountains. Scientific publication: Wultsch, C., Zeller, K.A., Welfelt, L.S., and R.A. Beausoleil. 2023. Genetic diversity, gene flow, and source-sink dynamics of cougars in the Pacific Northwest. Conservation Genetics
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.008 |
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".