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Record W4402053414 · doi:10.1079/9781800623279.0033

<i>Ostrinia nubilalis</i>(Hübner), European Corn Borer / Pyrale du maïs (Lepidoptera: Crambidae)

2024· book-chapter· fr· W4402053414 on OpenAlexaboutno aff
Annie‐Ève Gagnon, Tracey Baute

Bibliographic record

VenueCABI eBooks · 2024
Typebook-chapter
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect Resistance and Genetics
Canadian institutionsnot available
Fundersnot available
KeywordsOstriniaCrambidaeEuropean corn borerLepidoptera genitaliaPyralidaeBiologyHorticultureAgronomyBotany

Abstract

fetched live from OpenAlex

European corn borer, Ostrinia nubilalis , is a generalist herbivore introduced to North America from Europe that is known to damage important vegetable and field crops. Damage to corn from O. nubilalis is reduced in Bt corn hybrids, but there is now evidence of resistance to Bt in some O. nubilalis populations. Trichogramma egg parasitoids, including Trichogramma brassicae and Trichogramma ostriniae , have been used for biological control of O. nubilalis in Canada since the 1990s, as have some generalist predators and entomopathogens. Augmentative biological control using Trichogramma has been the focus of biological control research for O. nubilalis in Canada since 2013, including studies of technology to release Trichogramma , which are 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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.207
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; 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 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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