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Record W2914386429 · doi:10.1111/jzs.12262

Higher‐level phylogenetic affinities of the Neotropical genus<i>Mastigodryas</i>Amaral, 1934 (Serpentes: Colubridae), species‐group definition and description of a new genus for<i>Mastigodryas bifossatus</i>

2019· article· en· W2914386429 on OpenAlexaff
Giovanna G. Montingelli, Felipe G. Grazziotin, Jaqueline Battilana, Robert W. Murphy, Ya‐Ping Zhang, Hussam Zaher

Bibliographic record

VenueJournal of Zoological Systematics & Evolutionary Research · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsRoyal Ontario Museum
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsBiologyMonophylyCladeZoologyTaxonPhylogenetic treeColubridaeAffinitiesGenusEvolutionary biologyCladisticsLineage (genetic)EcologyGenetics

Abstract

fetched live from OpenAlex

Most Neotropical colubrid snakes belong to a single, well-supported lineage. Relationships between the major constituents of this clade remain. Here, we explore the phylogenetic relationships of Mastigodryas and its affinities to other Neotropical colubrid genera by combining DNA and morphological data. Analyses demonstrate that the concatenation of multiple individuals into a single terminal can mask the detection of new taxa. Further, non-random missing data and/or taxa in some empirical datasets can bias species tree analyses more than concatenation approaches. Our results place Mastigodryas in a strongly supported clade that includes Drymarchon, Rhinobothryum, Drymoluber, Simophis and Leptodrymus. Mastigodryas bifossatus is more closely related to species of Drymoluber and Simophis than to its congeners. Thus, we erect a new genus to accommodate it and recover a monophyletic Mastigodryas. We highlight the importance of the use of morphological characters to diagnose suprageneric clades by showing that some key external and hemipenial characteristics are phylogenetically informative.

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)0.002
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 score0.176
Threshold uncertainty score0.901

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.133
GPT teacher head0.283
Teacher spread0.150 · 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

Citations12
Published2019
Admission routes1
Has abstractyes

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