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Record W4315432813 · doi:10.3897/asp.68.e31734

First Alaocybites weevil (Insecta: Coleoptera: Curculionoidea) from the Eastern Palaearctic: a new microphthalmic species and generic relationships

2010· article· en· W4315432813 on OpenAlexaff
Vasily V. Grebennikov

Bibliographic record

VenueArthropod Systematics & Phylogeny · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsCanadian Food Inspection Agency
Fundersnot available
KeywordsWeevilBiologyZoologyPhylogenetic treeEcologyBotanyGeneticsGene

Abstract

fetched live from OpenAlex

The genus Alaocybites (Coleoptera: Curculionoidea), previously consisting of two eyeless Californian species, is for the fi rst time reported from the East Palaearctic Region. A new microphthalmic species, A. egorovi sp.n., is described from Primor-sky Kray, the Far East of Russia. An early Late Pliocene Alaskan weevil fossil previously attributed to the molytine genus Otibazo is assigned to Alaocybites and found almost undistinguishable from A. egorovi sp.n. Results of preliminary phylo-genetic analyses aimed to clarify phylogenetic affinities of Alaocybites are found controversial and inconclusive. The uncer-tainties of the contemporary classifi cation of orthocerous weevils are briefl y discussed. Alaocybites is provisionally retained in Raymondionymidae, with the absence of tarsomere IV on each leg being the family's most plausible apomorphy. Mono-phyly, geographical distribution and internal relationships of Raymondionymidae are briefl y discussed and compared with other predominantly Mediterranean groups of eyeless beetles. External and genital morphological characters of edaphic weevils with reduced eyes habitually resembling, or thought to be related to, Alaocybites are extensively illustrated.

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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.037
GPT teacher head0.207
Teacher spread0.170 · 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

Citations12
Published2010
Admission routes1
Has abstractyes

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