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Record W2921423220 · doi:10.4039/tce.2018.70

Allopatric separation represents an overlooked cryptic species in the <i>Anania hortulata</i> species complex (Lepidoptera: Crambidae: Pyraustinae): congruence between genetic and morphological evidence

2019· article· en· W2921423220 on OpenAlexafffund
Zhaofu Yang, Jean‐François Landry

Bibliographic record

VenueThe Canadian Entomologist · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLepidoptera: Biology and Taxonomy
Canadian institutionsAgriculture and Agri-Food Canada
FundersNorthwest A and F UniversityGenome Canada
KeywordsBiologyCrambidaeLepidoptera genitaliaAllopatric speciationSpecies complexZoologyPhylogenetic treeEvolutionary biologyEcologyGeneGeneticsPopulation

Abstract

fetched live from OpenAlex

Abstract Anania hortulata (Linnaeus, 1758) (Lepidoptera: Crambidae: Pyraustinae) is a strikingly coloured, common, and widespread species that has long been recognised as a single species widely distributed in Asia, Europe, and North America. Using a combination of molecular and morphometric data, this study resolved that A. hortulata is actually a species complex of two superficially indistinguishable species. Phylogenetic and network analyses based on the mitochondrial COI gene discriminated lineages from all major geographical regions of China as distinct, A. sinensis Yang and Landry new species, whereas A. hortulata occurs in Central Asia, Europe, and North America. Nuclear gene (CAD) and morphological differences in the genital characters provided further evidence for the separation of A. hortulata and A. sinensis.

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 score0.010

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 studies0.0010.001
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 head0.055
GPT teacher head0.289
Teacher spread0.234 · 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
Published2019
Admission routes2
Has abstractyes

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