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Record W4402055601 · doi:10.1079/9781800623279.0013

<i>Aphis gossypii</i>Glover, Melon/Cotton Aphid / Puceron du melon;<i>Aulacorthum solani</i>(Kaltenbach), Foxglove Aphid / Puceron de la digitale (Hemiptera: Aphididae) and Other Aphid Pests of Greenhouse Crops

2024· book-chapter· en· W4402055601 on OpenAlexaboutno aff
Sarah Jandricic, Cara M. McCreary, Rosemarije Buitenhuis, Jason Lemay

Bibliographic record

VenueCABI eBooks · 2024
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsnot available
Fundersnot available
KeywordsAphis gossypiiAphidBiologyAphididaeMelonHemipteraGreenhouseSoybean aphidBotanyHorticultureHomopteraPEST analysis

Abstract

fetched live from OpenAlex

Several species of aphid are pests of greenhouse crops in Canada, including the melon (or cotton) aphid, Aphis gossypii , green peach aphid, Myzus persicae , and foxglove aphid, Aulacorthum solani . Aphid feeding can result in plant death or aesthetic damage that reduces the value of the crop. Aphids are also vectors of plant diseases. Parasitoids have been used for biological control of aphids in greenhouses for a long time with some success. Other natural enemies, including generalist predators, have also been investigated for or used in biological control programmes targeting aphids in greenhouses. Recent advances in biological control research, the status of biological control programmes, and challenges associated with biological control of greenhouse aphids are reviewed.

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 score0.071
Threshold uncertainty score0.239

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0710.055

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 head0.007
GPT teacher head0.194
Teacher spread0.187 · 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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