<i>Anthonomus eugenii</i>Cano, Pepper Weevil / Charançon du poivron (Coleoptera: Curculionidae)
Bibliographic record
Abstract
The pepper weevil, Anthonomus eugenii , native to Mexico, is now found in transient populations in southern Ontario, Canada. A pest of Capsicum spp., the pepper weevil caused significant crop losses in Ontario in 2016 and has occurred sporadically since 2016. Pepper weevil is challenging to manage with insecticides because the majority of its life cycle is spent inside pepper fruits. Cultural controls, including physical barriers and sanitation, can help prevent pepper weevil invasion and persistence inside greenhouses, but there is also interest in developing biological control, RNA interference and sterile insect technique-based management programmes for pepper weevil in Canada. The chapter reviews surveys for natural enemies of pepper weevil conducted across North America and research studying a promising parasitoid of pepper weevil, Jaliscoa hunteri . Recommendations for future research and the next steps in developing a biological control programme for A. eugenii are discussed.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.039 | 0.015 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".