Mitochondrial DNA sequence variation and the specific identification of deer mice (<i>Peromyscus</i>) from Triangle Island, British Columbia, Canada
Bibliographic record
Abstract
Nucleotide sequences from the ND3, ND4L, and ND4 genes of the mitochondrial DNA of deer mice (Peromyscus) from Triangle Island, British Columbia, were analyzed and compared with those from reference samples of the geographically proximal species Peromyscus maniculatus and Peromyscus keeni. Variation among the deer mice from Triangle Island comprised four sequences with a total sequence divergence of 0.093%. One of these sequences characterized 52% of the 27 individuals analyzed; each of the other sequence variants occurred in smaller, but similar, proportions of the population sample. Phylogenetic and distance-clustering analyses uniformly grouped the sequences from the Triangle Island population and placed them within a cluster otherwise comprised of the P. keeni reference samples. The reference samples of P. maniculatus clustered distinctly and significantly outside of the P. keeni/Triangle Island deer mouse assemblage. These data indicate that, in contradiction to their current formal recognition as P. maniculatus, the deer mice from Triangle Island are representative of, and should be taxonomically relegated to, P. keeni.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".