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Record W2008387935 · doi:10.1139/e08-060

A re-evaluation of <i>Parasaurus geinitzi</i>, the first named pareiasaur (Amniota, Parareptilia)

2008· article· en· W2008387935 on OpenAlexvenueno aff
Linda A. Tsuji, Johannes Müller

Bibliographic record

VenueCanadian Journal of Earth Sciences · 2008
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Evolutionary Biology
Canadian institutionsnot available
Fundersnot available
KeywordsPostcraniaPaleontologyTaxonGeologyCladePermianTurtle (robot)SkullPhylogeneticsPhylogenetic treeEvolutionary biologyBiologyEcology

Abstract

fetched live from OpenAlex

The historically first named pareiasaur Parasaurus geinitzi from the Upper Permian Kupferschiefer deposits of Germany is re-described in detail, including information from recently discovered specimens, as well as material that was for a long time assumed to be lost. The re-study provides new information on both the cranial and the postcranial anatomy of the taxon, the most notable features being the presence of small spikes in the postero-temporal region of the skull and the apparent lack of osteoderms in the axial skeleton, which is unique among pareiasaurs but requires further investigation and new material. A phylogenetic analysis indicates that Parasaurus groups within the more derived pareiasaurs; however, the overall resolution of the analysis is very poor, most likely because many characters traditionally used in studies on pareiasaurian phylogeny were originally defined only for investigating turtle relationships, but not for deciphering the ingroup relationships of pareiasaurs. A careful revision of the phylogeny of the clade is necessary and should also include a detailed assessment of pareiasaurian anatomy, which is still poorly known.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.065
GPT teacher head0.250
Teacher spread0.185 · 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 source (direct Gemma or distilled Codex), 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

Citations24
Published2008
Admission routes1
Has abstractyes

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