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Record W4400532647 · doi:10.3390/geosciences14070184

Remarkable Carapace Morphology of Nanhsiungchelys (Testudines: Nanhsiungchelyidae) Revealed by New Material from Ganzhou Basin, Jiangxi Province, China

2024· article· en· W4400532647 on OpenAlexaff
Haiyan Tong, Lu Li, Yuzheng Ke, Wang Yan-yin, Gongqing Jie, Laiping Yi

Bibliographic record

VenueGeosciences · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicTurtle Biology and Conservation
Canadian institutionsUniversity of Alberta
FundersNational Natural Science Foundation of ChinaWilli Hennig Society
KeywordsCarapaceChinaMorphology (biology)GeographyZoologyBiologyArchaeologyCrustacean

Abstract

fetched live from OpenAlex

Two nanhsiungchelyid carapaces from the Upper Cretaceous of Ganzhou Basin, Jiangxi Province, Southern China, are reported and assigned to Nanhsiungchelys sp. The new material reveals an unusual carapace morphology that was either not or poorly preserved in previously known Nanhsiungchelys specimens, including differentiated neurals, alternating costals, significantly modified scutes with vertebrals 4–5 contacting each other at a point, reduced pleurals 2–4 and greatly expanded lateral and posterior marginals. The discovery extends the geographical distribution of Nanhsiungchelys to the Ganzhou Basin.

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)0.000
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.006
GPT teacher head0.206
Teacher spread0.200 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

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