Genetic variation in domestic and wild elk (Cervus elaphus)1
Bibliographic record
Abstract
Elk (Cervus elaphus) have recently been established as domestic livestock derived from extant wild populations and may provide insights into changes in genetic variation during domestication. We compared genetic variation at 10 microsatellite DNA loci and the mitochondrial DNA D-loop in 2 herds of domestic elk in Alaska and Canada and wild elk from 8 locations in western North America and Asia. Average individual heterozygosity was 0.55 in domestic elk and 0.47 in wild elk, average number of alleles per locus was 4.1 in domestic elk and 3.9 in wild elk, and 4 mitochondrial DNA haplotypes were observed in domestic elk and 3 in wild elk. Levels of genetic variation were not significantly different among the domestic elk and wild elk we analyzed. Our results are consistent with other studies showing that genetic variation can be maintained in domestic and wild populations of elk and other deer with appropriate management.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".