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Record W2030682348 · doi:10.1139/z03-155

Phylogenetic relationships of the genus<i>Chiropterotriton</i>(Caudata: Plethodontidae) based on 16S ribosomal mtDNA

2003· article· en· W2030682348 on OpenAlexvenueno aff
Gabriela Parra‐Olea

Bibliographic record

VenueCanadian Journal of Zoology · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyMaximum parsimonyPhylogenetic treeMitochondrial DNAZoologyPhylogeneticsEvolutionary biologyGenusCladeGeneticsGene

Abstract

fetched live from OpenAlex

The genus Chiropterotriton contains only 12 described species but includes a rich variety of morphological and ecological forms ranging from diminutive to large cave-dwelling species, as well as a number of terrestrial and arboreal forms. Although morphological diversification has taken place during the evolution of this genus, morphological stasis and parallelism also characterize the evolution of this group, generating complexes of cryptic species. I obtained sequences of the 16S ribosomal mtDNA gene from most of the species. Mitochondrial DNA shows great diversification, with genetic divergence among taxa as high as 12.5%. The 531-bp mtDNA data matrix contained 121 parsimony-informative characters. Basal relationships are poorly supported by maximum parsimony analyses. There is, however, support for a clade that includes all of the samples of the C. chiropterus group. The maximum-likelihood and Bayesian topologies differ from maximum-parsimony topologies mainly in the arrangement of the basal relationships. Based on the results, the genus Chiropterotriton comprises 12 species with available names: C. arboreus, C. chiropterus, C. chondrostega, C. cracens, C. dimidiatus, C. lavae, C. magnipes, C. mosaueri, C. multidentatus, C. orculus, C. priscus, and C. terrestris, plus 7 additional undescribed species for which allozyme and mitochondrial data sets are congruent.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.586
Threshold uncertainty score0.775

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.035
GPT teacher head0.216
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2003
Admission routes1
Has abstractyes

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