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Record W2745174043 · doi:10.11646/zootaxa.4300.4.1

Review of the genus Agonochaetia Povolny (Lepidoptera, Gelechiidae), and description of a new genus and species from the Canary Islands

2017· article· en· W2745174043 on OpenAlexaffabout
Jean‐François Landry, Vazrick Nazari, Oleksiy Bidzilya, Peter Huemer, Ole Karsholt

Bibliographic record

VenueZootaxa · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLepidoptera: Biology and Taxonomy
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsBiologyHolarcticParaphylyLepidoptera genitaliaZoologyGenusGelechiidaeTaxonomy (biology)Phylogenetic treeKey (lock)EcologyClade

Abstract

fetched live from OpenAlex

The Holarctic genus Agonochaetia is reviewed and a new species, Agonochaetia shawinigan Landry, sp. nov. is described from Québec, Canada. In addition, a new glandiductor-bearing genus and species, Canarischema fuerteventura Karsholt, gen. nov., sp. nov. is described from the Canary Islands. Comparative diagnoses, a key to species, illustrations of external aspect, male and female genitalia are provided for all species. Most species of Agonochaetia are rarely collected and known only from their types or from very few specimens. DNA barcodes are provided for four of the species from which DNA was recovered. Analysis of DNA barcodes suggests that Agonochaetia may be paraphyletic. Phylogenetic relationships to other Gnorimoschemini genera bearing a pair of glandiductors above the phallus are discussed.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.023
GPT teacher head0.234
Teacher spread0.211 · 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

Citations3
Published2017
Admission routes2
Has abstractyes

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