Phenotypes and Distribution of Yellow-Pine Chipmunk (Neotamias amoenus) of Hybrid Ancestry from the Rocky Mountains of Canada
Bibliographic record
Abstract
In Canada, subspecies of the yellow-pine chipmunk (Neotamias amoenus luteiventris) and red-tailed chipmunk (Neotamias ruficaudus ruficaudus) co-occur in a small area of the Rocky Mountains in southwestern Alberta and southeastern British Columbia. Some N. a. luteiventris individuals in this area are of hybrid ancestry, carrying a mitochondrial DNA gene of N. r. ruficaudus. We tested for phenotypic hybridization by comparing genital bone morphology, body size, cranial mandibular morphology, and tail color of mitochondrial hybrids with specimens of the 2 parental reference groups identified from genetics or genital morphology. Hybrids were indistinguishable from the N. a. luteiventris reference group, demonstrating no intermediacy or increased variability. Our results are consistent with genetic data that suggest minimal nuclear gene flow between the 2 taxa. Five hybrid locations were within the contact zone, but 6 were 14–98 km beyond the known range extent of N. r. ruficaudus. These peripheral occurrences may be a legacy of a past range decline of N. r. ruficaudus in response to Holocene climatic changes that left hybrids outside the present-day contact zone. We recommend more field research in the Canadian Rocky Mountains to determine the full range extent of N. r. ruficaudus and N. a. luteiventris of hybrid ancestry.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".