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Record W4414142816 · doi:10.3390/insects16090941

Cerophytum lii Qiu & Ruan, sp. nov. (Coleoptera: Cerophytidae): First Record of the Family in China with Study on Its Thoracic Functional Morphology Through 3D Reconstruction

2025· article· en· W4414142816 on OpenAlexaff
Lu Qiu, Yongying Ruan, Yang Liu, Liya Ma, Bo Feng

Bibliographic record

VenueInsects · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsUniversity of Manitoba
FundersNational Natural Science Foundation of ChinaShenzhen PolytechnicBasic and Applied Basic Research Foundation of Guangdong ProvinceNational Computational Infrastructure
KeywordsExtant taxonThorax (insect anatomy)Dissection (medical)Morphology (biology)3D reconstructionConvergent evolution

Abstract

fetched live from OpenAlex

The beetle family Cerophytidae is reported from China for the first time, based on the discovery of Cerophytum lii Qiu & Ruan, sp. nov. and Cerophytum sp., both from Daweishan Mountain in Southeast Yunnan Province. Detailed descriptions and diagnostic illustrations of Cerophytum liisp. nov. are provided, along with an identification key to extant Cerophytum species worldwide. A representative specimen of the new species (a male paratype) underwent micro-computed tomography scanning, enabling three-dimensional reconstruction and virtual dissection of its thoracic morphology. Internal muscular architecture and exoskeletal structures of its thorax are illustrated and described. Comparative morphological analyses revealed convergent evolution in the clicking structures of Cerophytum lii sp. nov. and Campsosternus auratus (Drury), with the latter exhibiting more specialized structural modifications that enhance its jumping performance to a greater degree. In contrast, Cerophytum liisp. nov. exhibits morphological adaptations primarily suited for rapid walking and flight.

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 score0.084
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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

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 head0.038
GPT teacher head0.243
Teacher spread0.205 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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