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Cranial anatomy and phylogenetic affinities of the Permian parareptile<i>Macroleter poezicus</i>

2006· article· en· W2179678742 on OpenAlexaff
Linda A. Tsuji

Bibliographic record

VenueJournal of Vertebrate Paleontology · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Evolutionary Biology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSister groupTaxonPhylogenetic treePermianSkullAffinitiesBiologyPaleontologyEvolutionary biologyPhylogeneticsGroup (periodic table)AnatomyZoologyStructural basinCladeGeneGenetics

Abstract

fetched live from OpenAlex

ABSTRACT The Parareptilia, the sister group to the Eureptilia, is poorly known, with many taxa in need of adequate description. One such taxon, Macroleter poezicus is found in Middle Permian strata of the Mezen River Basin in the Arkhangel'sk Province of Russia. The cranial anatomy of Macroleter is described from four new well-preserved specimens, and 89 cranial characters are incorporated into a phylogenetic analysis of parareptiles. A single most parsimonious topology is found, consisting of 205 steps, with the novel result that Macroleter is the taxon most closely related to pareiasaurs. This result has important implications for the phylogeny of the Parareptilia as well as for the identity of a disputed element (the tabular) in the skull of pareiasaurs.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.036
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.190
Teacher spread0.184 · 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

Citations55
Published2006
Admission routes1
Has abstractyes

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