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Record W2543954926 · doi:10.11646/zootaxa.4179.1.11

Flightless litter-dwelling Cotasterosoma (Coleoptera: Curculionidae: Cossoninae) found outside of Japan, with mtDNA phylogeography of a new species from Southwest China

2016· letter· en· W2543954926 on OpenAlexaff
Vasily V. Grebennikov, Katsura Morimoto

Bibliographic record

VenueZootaxa · 2016
Typeletter
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsCanadian Nutrition SocietyCanadian Food Inspection Agency
Fundersnot available
KeywordsBiologyCurculionidaePhylogeographyRange (aeronautics)EdaphicDNA barcodingTaxonGenusSubfamilyChinaZoologyEcologyArchaeologyPhylogeneticsGeography

Abstract

fetched live from OpenAlex

The herein reported beetles (Figs 1, 2) were repeatedly sampled by the first author since 2008 by sifting leaf litter in two forested localities in Southwest China: Cang Shan Mountain Range in Yunnan and Mount Emei in Sichuan (Fig. 3). The specimens' characteristic appearance and edaphic way of life were consistent with those of various members of the subfamily Cossoninae (Morimoto 1973, 1993, 1995), although a more precise taxonomic assignment remained elusive. In 2015 the second author saw images of these beetles and suggested their affinities to the genus Cotasterosoma Konishi, 1962. This taxon until present was known from a single specimen collected in 1954 in Shikoku, Japan, and illustrated in Morimoto (1993), although additional congeneric specimens are known to the second author. The purpose of this paper is to document our discovery of the genus in Southwest China by describing a new species, illustrating its external and genital morphological characters, releasing DNA barcode data and providing phylogeographic interpretations of our findings.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.020
GPT teacher head0.198
Teacher spread0.178 · 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.

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

Citations3
Published2016
Admission routes1
Has abstractyes

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