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Record W4402796048 · doi:10.3897/zookeys.1212.126598

Elachista dimicatella sensu auctt.—a complex of neglected species diversity (Lepidoptera, Elachistidae) from European mountain systems

2024· article· en· W4402796048 on OpenAlexfundno aff
Lauri Kaila, Peter Huemer

Bibliographic record

VenueZooKeys · 2024
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 CanadaOntario GenomicsMuséum National d'Histoire NaturelleGenome Canada
KeywordsSensuDNA barcodingSynonym (taxonomy)Lepidoptera genitaliaSpecies complexGeographyTaxonomy (biology)BiologyZoologyEcologyGenusPhylogenetic tree

Abstract

fetched live from OpenAlex

Elachista dimicatella Rebel, 1903, has so far been considered a species in Europe with restricted distribution from Ukraine to western France. The species occurs on mountainous regions. However, the in-depth analysis of a taxonomically uncertain species of Elachista from the Cottian Alps (Italy), especially through DNA barcoding and subsequent morphological studies, led to the realization that individuals previously identified as E. dimicatella from the Cottian Alps and the Pyrenees were misidentified. According to our research, a total of three species can be differentiated: E. dimicatella from Carpathians and its former junior synonym E. niphadophanes Meyrick, 1937, sp. rev., from the Pyrenees, as well as the newly described E. cottiellasp. nov. from southwestern Alps, hitherto incorrectly identified as E. dimicatella. Diagnostic features of the three species are discussed and illustrated. Elachista dimicatella and E. niphadophanes are redescribed.

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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

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 communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.221
Teacher spread0.198 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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