Phylogenetic history of mustelid fauna in Taiwan inferred from mitochondrial genetic loci
Bibliographic record
Abstract
Phylogenetic relationships among species of the family Mustelidae were examined using the combined nucleotide sequences of the three mitochondrial genetic loci (cytochrome b (MT-CYB; 1140 bp), NADH dehydrogenase subunit 2 (MT-ND2; 1044 bp), and displacement loop (MT-DLOOP; 540 bp)), with special emphasis on the phylogenetic history of four Taiwanese mustelid species: Martes flavigula (Boddaert, 1785), Melogale moschata (Gray, 1831), Mustela nivalis L., 1766, and Mustela sibirica Pallas, 1773. Maximum likelihood phylogenetic analysis of the combined sequences of the mitochondrial genetic loci produced a topology largely congruent with that of previous studies at the species level. Analyses of intraspecific genetic variations revealed two Melogale moschata individuals from Taiwan and Vietnam that showed genetic distances comparable with interspecific variations within the mustelid lineages. Furthermore, Mustela nivalis, recently discovered in Taiwan, was not as genetically differentiated from other continental conspecific individuals as a previous morphological survey suggested. Divergence time estimations for the mustelid lineages of Taiwan and the Eurasian continent by the Bayesian relaxed molecular clock approach suggested multiple colonization of Taiwan by mustelids from the continent during the Pleistocene, creating a hierarchical pattern of endemism based on the differential isolation history of the mustelid species in Taiwan.
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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 | 0.002 | 0.001 |
| 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".