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Record W1836910907 · doi:10.11646/zootaxa.4034.1.5

<p><strong>Undetected for a century: Palaearctic <em>Agrilus</em> <em>ribesi</em> Schaefer (Coleoptera: Buprestidae) on currant in North America, with adult morphology, larval biology and DNA barcode</strong></p>

2015· article· en· W1836910907 on OpenAlexaffabout
Eduard Jendek, Vasily V. Grebennikov, Ladislav Bocák

Bibliographic record

VenueZootaxa · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsCanadian Food Inspection Agency
Fundersnot available
KeywordsAgrilusBuprestidaeBiologyDNA barcodingZoologyKey (lock)EcologyBotany

Abstract

fetched live from OpenAlex

We report the Eurasian species Agrilus ribesi Schaefer, 1946, for the first time from North America and propose that the damage to currants (Ribes spp.) in Ontario prior to 1940 and ascribed to A. cuprescens were caused by this species. We provide morphological diagnostic characters for A. ribesi and closely related A. cuprescens and we complement this information with DNA barcodes from four alien Agrilus species established in North America (i.e., A. ribesi Schaefer, A. cuprescens (Ménétriés), A. planipennis Fairmaire and A. sulcicollis Lacordaire) to enable DNA-based identification of these invasive species. Additionally, published information on A. ribesi is summarized and new data are provided on the host plants and biology of larva in North America. The distribution of A. ribesi is mapped, both in its native Palaearctic region and in Canada and the USA, together with the range of its potential host plants in North America. A. ribesi was recovered as a sister-species of A. cuprescens on the neighbor joining DNA barcoding tree and low genetic variability of North American populations may indicate a single introduction to North America for each of these species.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.012
GPT teacher head0.225
Teacher spread0.213 · 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; both teacher heads agree on what is shown here.

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

Citations18
Published2015
Admission routes2
Has abstractyes

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