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Record W2538223561 · doi:10.11646/zootaxa.4178.3.3

Different continents, same species? Resolving the taxonomy of some Holarctic Ancylis Hübner (Lepidoptera: Tortricidae)

2016· article· en· W2538223561 on OpenAlexfundno aff
Todd M. Gilligan, Peter Huemer, Benjamin Wiesmair

Bibliographic record

VenueZootaxa · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLepidoptera: Biology and Taxonomy
Canadian institutionsnot available
FundersOntario Ministry of Research and InnovationNatural Sciences and Engineering Research Council of CanadaProvincia autonoma di Bolzano - Alto AdigeBundesministerium für Wissenschaft und ForschungGovernment of CanadaOntario Genomics InstituteGenome Canada
KeywordsHolarcticBiologyTaxonTaxonomy (biology)TortricidaeLepidoptera genitaliaZoologyEcologyEvolutionary biologyGenus

Abstract

fetched live from OpenAlex

Several species of Ancylis related to A. unguicella (Linnaeus) and A. geminana (Donovan) have been presumed by previous authors to be Holarctic. However, difficulty in identifying genitalic characters to define and separate these taxa has brought into question their true distribution and led to inconsistencies in their taxonomic treatment in Europe and North America. Here we use a combination of DNA barcode sequence data and morphology to resolve these taxonomic differences, determine the actual geographic range of these taxa, and describe three new species. In the A. unguicella group, only A. unguicella and A. uncella (Denis & Schiffermüller) are Holarctic in distribution. In the A. geminana group, none of the taxa are Holarctic in their distribution. Three species are described as new: A. christiandiana Huemer and Wiesmair, sp.n. (Austria, Germany); A. oregonensis Gilligan and Huemer, sp.n. (USA: Oregon); and A. saliana Gilligan and Huemer, sp.n. (USA: Florida). In addition, Ancylis carbonana Heinrich, syn.n., is synonymized with A. uncella; A. cuspidana (Treitschke), syn.rev., is synonymized with A. diminutana (Haworth); and A. diminuatana Kearfott, stat.rev., and A. subarcuana (Douglas), stat.rev., are raised from synonymy.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score0.553

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.020
GPT teacher head0.220
Teacher spread0.200 · 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 designNot applicable
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

Citations9
Published2016
Admission routes1
Has abstractyes

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