Three new species of Neodon (Rodentia, Cricetidae) from Sichuan and Xizang, China
Bibliographic record
Abstract
During a survey of small mammals in Sichuan and southern Xizang, China, three species of Neodon were collected that did not match to any described species. Therefore, we conducted phylogenetic analyses of the entire genus based on two mitochondrial genes (CYTB and ND2) and three nuclear genes (IRBP, GHR, and RAG1). Morphological analyses were based on skull characteristics and male genitalia. The main results were as follows: 1) Three new taxa consistently formed three distinct clades in the molecular phylogenetic trees; 2) the Kimura 2-Parameter (K2P) distances between these three new taxa and other known species of Neodon ranged from 9.0% to 15.5%, indicating interspecific divergence; 3) both automatic barcode gap discovery (ABGD) and Bayesian posterior probability (BPP) analyses indicated that the three new taxa were independent species; 4) principal component analysis (PCA) and discriminant analysis showed clear separation in scatterplots from morphologically similar species; and 5) these three new taxa had distinct glans penis morphologies. Accordingly, three new taxa were described as N. minorsp. nov., N. kulakangriasp. nov., and N. konggordoussp. nov.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".