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Record W6913006405 · doi:10.5683/sp3/hteony

Sterile Insect Technique as a Novel Tool for the Management of Pepper Weevil, Anthonomus eugenii Cano (Coleoptera: Curculionidae), in Greenhouse and Field Pepper Crops

2023· dataset· en· W6913006405 on OpenAlexaff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2023
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAnthonomusPepperSterile insect techniqueGreenhouseSterilityIntegrated pest management

Abstract

fetched live from OpenAlex

The sterile insect technique (SIT) has been effectively used to genetically manage and even eradicate pest species across several insect families worldwide. The pepper weevil (PW), Anthonomus eugenii Cano (Coleoptera: Curculionidae), is an economically significant pest of Capsicum crops in North America for which current management strategies are often insufficient. As a PW-SIT program has yet to be considered, this foundational research determined that a gamma radiation dose of 110 Gy applied to PW pupae was necessary to induce > 99% sterility in females, and > 97% sterility in males, though the longevity, spontaneous flight activity, sperm production, and mating competitiveness of the sterile adults were negatively impacted by the treatment. Based on this work, a PW-SIT program could effectively and sustainably manage total PW populations in field or greenhouse pepper crops, and further research is recommended to ensure its success.

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)0.001
metaresearch head score (Gemma)0.006
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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.066
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0420.018

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 head0.025
GPT teacher head0.246
Teacher spread0.221 · 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
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

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