Molecular phylogenetics, PCA, and MFA recover a new species of Cyrtodactylus (Squamata: Gekkonidae) from an isolated sandstone massif in northwestern Cambodia
Bibliographic record
Abstract
The integrated results of maximum likelihood (ML) and Bayesian inference (BI) analyses, principal component analyses (PCA), and a multiple factor analysis (MFA) recover a new, widely allopatric species of the Cyrtodactylus intermedius species group. Cyrtodactylus kulenensis sp. nov is endemic to the Phnom Kulen sandstone massif of the Phnom Kulen National Park, Siem Reap Province, in the lowlands of northwestern Cambodia. A phylogenetic analysis from a short read (275 base pairs) of the mitochondrial gene NADH dehydrogenase subunit 2 (ND2) from C. kulenensis sp. nov. was aligned with 1449 base pairs from all other species in the intermedius group. The analysis recovered C. kulenensis sp. nov. as the sister species to a lineage composed of populations from the widely separated hilly regions of Sa Keao and Sakaerat in eastern Thailand. Multivariate (PCA, DAPC, and MFA) and univariate analyses (ANOVA) using combinations of meristic (scale counts), mensural (morphometric), and categorical (color pattern and morphology) characters from 52 specimens encompassing all species of the intermedius group clearly demonstrate C. kulenensis sp. nov. is significantly different and discretely diagnosable from all other species in the intermedius group. This new discovery further highlights the herpetological diversity and high levels of range-restricted endemism in basin-habitat-island landscapes throughout Indochina and the continued need for field work in the landscapes that remain unsurveyed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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 teacher head, 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".