A new vole from Xizang, China and the molecular phylogeny of the genus Neodon (Cricetidae: Arvicolinae)
Bibliographic record
Abstract
During a faunal survey in southern Xizang, we collected 27 specimens of voles that could not be identified as any knownspecies in the Arvicolinae. These specimens shared the following morphological characteristics, not corresponding withany other arvicoline species: the first lower molar possessed five closed triangles, the third upper molar exhibited eitherfour or three inner angles, and the tails of all specimens measured 30% of the body length. Their proximal baculum of theglans was very sturdy and trumpet-shaped, the distal baculum was tongue-like and sturdy, and the lateral bacula were veryshort. Molecular phylogenetic analyses based on nucleotide sequences of the mitochondrial cytochrome b (cyt b) geneclustered these specimens as a distinct lineage within the genus Neodon. According to the morphological and moleculardata, we described them as a new species, Neodon linzhiensis. Our phylogenetic analysis strongly supported that Lasio-podomys fuscus, Phaiomys leucurus, Neodon sikimensis, N. irene and the new species formed a monophyletic group, notincluding N. juldaschi. We suggested that L. fuscus and P. leucurus should be transferred to Neodon and that N. juldaschishould be removed from this genus. Following our new delineation of Neodon, we proposed a redefinition of the morphological diagnostic characters of the genus.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".