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Record W4247209633 · doi:10.1093/jee/100.6.1831

Influence of Mixtures of Kaolin Particle Film and Synthetic Insecticides on Mortality of Larval Obliquebanded Leafrollers (Lepidoptera: Tortricidae) from Resistant and Susceptible Populations

2007· article· en· W4247209633 on OpenAlexaff
Michael J. Smirle, D. Thomas Lowery, Cheryl L. Zurowski

Bibliographic record

VenueJournal of Economic Entomology · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicPesticide and Herbicide Environmental Studies
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsTortricidaeIndoxacarbBiologyLepidoptera genitaliaBioassayToxicologyPopulationBotanyHorticulturePesticideAgronomyEcology

Abstract

fetched live from OpenAlex

Experiments were conducted to determine potential interactions between kaolin particle film and three insecticides on neonate larvae of the obliquebanded leafroller, Choristoneura rosaceana (Harris) (Lepidoptera: Tortricidae). Kaolin did not significantly affect the toxicity of azinphosmethyl or indoxacarb to an insecticide-susceptible population when applied simultaneously with either insecticide in a 7-d leaf disk bioassay. Methoxyfenozide was slightly more toxic to the same leafroller population when coapplied with kaolin. When these bioassays were repeated on a multiresistant laboratory strain of C. rosaceana, mixtures of kaolin with either azinphosmethyl or indoxacarb were significantly more toxic than the insecticides alone, 3.1- and 7.7-fold more toxic for azinphosmethyl:kaolin and indoxacarb:kaolin, respectively. Mixtures of kaolin and methoxyfenozide did not differ in toxicity to the resistant leafroller population from the toxicity of methoxyfenozide alone. Kaolin alone had no effect on leafroller mortality over the 7-d duration of the bioassay. Although the toxicities of mixtures of kaolin with azinphosmethyl or indoxacarb are only moderately higher than those of the insecticides alone, they may be high enough to provide control of leafroller populations that have become difficult to manage due to the development of insecticide resistance.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.534

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.272
Teacher spread0.250 · 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 teacher head, 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

Citations4
Published2007
Admission routes1
Has abstractyes

Explore more

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