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Record W4320915336 · doi:10.4039/tce.2022.38

Pheromone trap monitoring reveals the continued absence of swede midge in the Northern Great Plains

2023· article· en· W4320915336 on OpenAlexafffundabout
Meghan A. Vankosky, Shane Hladun, Jonathon L. Williams, Juliana J. Soroka, Lars Andreassen, Scott Meers, Patrick B. Beauzay, T.J. Prochaska, Lesley Lubenow, Anitha Chirumamilla, Veronica Calles Torrez, Janet J. Knodel, Boyd A. Mori

Bibliographic record

VenueThe Canadian Entomologist · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsUniversity of AlbertaAgriculture Food and Rural DevelopmentAgriculture and Agri-Food Canada
FundersNatural Sciences and Engineering Research Council of CanadaAlberta Canola Producers CommissionAlberta Pulse Growers CommissionNational Institute of Food and AgricultureAlberta Wheat CommissionU.S. Department of Agriculture
KeywordsMidgeCecidomyiidaeGeographyPheromone trapPEST analysisCanolaEcologyAgronomyBiologyHorticulture

Abstract

fetched live from OpenAlex

Abstract The swede midge, Contarinia nasturtii (Kieffer) (Diptera: Cecidomyiidae), is invasive to North America, where it was first reported in Ontario, Canada. It is now established in eastern Canada and from eastern Minnesota in the Midwest to the northeastern seaboard of the United States of America. Swede midge is a serious pest of brassicaceous plants, including vegetable and oilseed crops. To ensure its early detection in the Northern Great Plains, a monitoring programme was established using pheromone traps located primarily along the edges of canola fields from North Dakota, United States of America, northwest to the Peace River region, in Alberta and British Columbia, Canada. In North Dakota, 117 trap sites were monitored between 2015 and 2021. In western Canada, monitoring occurred on a small scale from 2006 to 2011, and 521 trap sites were monitored from 2013 to 2021. Swede midge was not detected in canola grown in the Northern Great Plains between 2006 and 2021. Partners in North Dakota and western Canada intend to maintain the monitoring programme to support early detection of swede midge if it does continue to disperse northwestwards. The monitoring programme contributes to outreach activities and fosters farmer and agronomist participation in pest management ( i.e. , community science) in the Northern Great Plains.

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 score0.490
Threshold uncertainty score0.558

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 science0.0010.000
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 head0.036
GPT teacher head0.247
Teacher spread0.211 · 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
Published2023
Admission routes3
Has abstractyes

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