Microgeographic variation in allozymes and mitochondrial DNA of<i>Microtus richardsoni</i>, the water vole, in the Beartooth Mountains of Montana and Wyoming, U.S.A.
Bibliographic record
Abstract
Microtus richardsoni, the water vole, is listed as a sensitive species within region 2 of the USDA Forest Service. Because it is a sensitive species, the water vole's ability to disperse becomes an important management concern in terms of its population viability. Both allozyme and mitochondrial DNA analyses were used to study microgeographic population structure within a group of populations from four adjacent watersheds of the Beartooth Mountains of Montana and Wyoming. Of 31 protein loci examined, only ADH, EST-1, and SOD-1 were polymorphic. ADH and EST-1 were in HardyWeinberg equilibrium, but SOD-1 was not. Mitochondrial DNA was found to be polymorphic with 9 restriction enzymes. The size of the fragments produced by each restriction enzyme was estimated and ordered into a site map. In total, 51 sites were found with 9 restriction enzymes resulting in 29 different haplotypes from 142 individuals. Shared haplotypes were geographically contiguous except for one. There was no significant difference in genetic distance among water voles from the Beartooth Mountains, and only the outgroup from Togwotee Pass in the Absaroka Mountains of Wyoming had significant genetic distance. This suggests the possibility of dispersal between water voles from the contiguous watersheds of the Beartooth Mountains but not between the Beartooth Mountains and Togwotee Pass populations.
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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 | 0.000 |
| 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 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".