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Record W2587245632 · doi:10.4141/cjps2011-045

Aphid parasitoids in biological control

2012· article· en· W2587245632 on OpenAlexaffvenue
Guy Boivin, Thierry Hance, Jacques Brodeur

Bibliographic record

VenueCanadian Journal of Plant Science · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsUniversité de MontréalMcGill UniversityAgriculture and Agri-Food Canada
Fundersnot available
KeywordsBraconidaeAphidBiological pest controlBiologyAphelinidaeCecidomyiidaeAphididaeBeneficial insectsParasitoidEcologyAgronomyHomopteraBotanyPEST analysisGall

Abstract

fetched live from OpenAlex

Boivin, G., Hance, T. and Brodeur, J. 2012. Aphid parasitoids in biological control. Can. J. Plant Sci. 92: 1–12. Aphids are important pests of most cultivated crops worldwide. Among the natural enemies that regulate their populations, aphid parasitoids are commonly used in biological control programs in greenhouses and field situations. They belong to the Hymenoptera (Braconidae and Aphelinidae), and a few species are Diptera (Cecidomyiidae). Aphid parasitoids are themselves exposed to a variety of natural enemies including predators, fungi and hyperparasitoids. The most important impediment to the use of aphid parasitoids as biological control agents remains the production cost to mass-rear parasitoids. Rearing either aphids or directly aphid parasitoids in artificial media could be a solution to produce large quantities of aphid parasitoids at low cost, but such an approach still faces numerous challenges related to the nutritional and physiological requirements of developing aphid parasitoids.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.018
GPT teacher head0.211
Teacher spread0.193 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations181
Published2012
Admission routes2
Has abstractyes

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