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Record W4402053073 · doi:10.1079/9781800623279.0006

<i>Acalymma vittatum</i>(Fabricius), Striped Cucumber Beetle / Chrysomèle rayée du concombre (Coleoptera: Chrysomelidae)

2024· book-chapter· fr· W4402053073 on OpenAlexaboutno aff
Geneviève Labrie, Isabelle Couture, Marc Fournier, Éric Lucas

Bibliographic record

VenueCABI eBooks · 2024
Typebook-chapter
Languagefr
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyLeaf beetleZoologyBotanyLarva

Abstract

fetched live from OpenAlex

The striped cucumber beetle, Acalymma vittatum , is the most damaging pest to cucurbit crops in Canada, largely because it is the vector of bacterial wilt infections caused by Erwinia tracheiphila . Managing bacterial wilt infections requires managing striped cucumber beetle populations. No insecticides are registered for striped cucumber beetle, so growers rely on physical barriers, removal by hand, semiochemical-mediated control, and other cultural control tactics. Two parasitoids of striped cucumber beetle have been identified in Canada and the United States, Celatoria setosa and Centistes diabroticae , with parasitism rates reaching 40% and 54% in some areas, respectively. Other natural enemies, including entomopathogenic nematodes, have also shown promise as biological control agents and ongoing research is reviewed in this chapter.

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 categoriesMeta-epidemiology (narrow), 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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.955
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.007

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 head0.015
GPT teacher head0.211
Teacher spread0.197 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes1
Has abstractyes

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