Systematics and biogeography of the widespread Neotropical gekkonid genus<i>Thecadactylus</i>(Squamata), with the description of a new cryptic species
Bibliographic record
Abstract
The systematics of the widespread neotropical gekkonid genus Thecadactylus is investigated using a combination of morphological, morphometric and mtDNA (cytochrome b ) sequence data, forming a total evidence dataset.The analysis tackles the common yet complex problem of a widespread taxon consisting of one or more cryptic species that are difficult to diagnose using morphology alone.The data are analysed using both maximum parsimony and Bayesian inference.Virtually all analyses resolve a well-supported south-western Amazonian clade distinct from the remainder of the recognized T. rapicauda .The south-western Amazonian clade is not only robustly supported, but also exclusive, geographically coherent and sufficiently distinct to warrant specific recognition.The new species is diagnosable on the basis of molecular sequences that are 23.0-26.9%divergent from those of T. rapicauda , and morphological evidence.Bayesian inference analysis robustly resolves meaningful and repeatable patterns of relationship.The biogeography of Thecadactylus is interpreted in the context of its two constituent species, and difficulties of resolving systematic and biogeographical patterns in widespread, cosmopolitan taxa are discussed.
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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".