Genetic connectivity of boreal woodland caribou (Rangifer tarandus caribou) in central Canada
Bibliographic record
Abstract
Delineating population units is essential for the conservation and management of a species. Applying a genetic approach to delineate units, this study identifies genetic population structure, and landscape resistance to gene flow, of the nationally threatened boreal woodland caribou (Rangifer tarandus caribou) across the ecotypes’ southern range in Saskatchewan. Three genetic clusters were delineated across the study area, with moderate genetic connectivity identified with Manitoba. Isolation-by-distance was found to be significant across Saskatchewan, and within each genetic cluster. Gene flow across clusters in Saskatchewan was high (FST = ~0.01), with genetic connectivity being lowest for the south-central cluster surrounding Prince Albert National Park (FST = ~0.03). Resistance to gene flow was identified with the following landscape variables: water, forestry, roads, wildfire, and low suitability habitat. Careful consideration of these variables in range planning will help to maintain genetic connectivity of boreal caribou across its southern range in Saskatchewan.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".