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Record W4225398543 · doi:10.1139/cjps-2022-0031

First record of blueberry maggot in Lac Saint-Jean, Quebec

2022· article· en· W4225398543 on OpenAlexafffundvenueabout
Charles Vincent, Pierre-Olivier Martel, Judith Gagnon, Olivier Morin

Bibliographic record

VenueCanadian Journal of Plant Science · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect behavior and control techniques
Canadian institutionsMinistère de l'Agriculture, des Pêcheries et de l'AlimentationCanadian Food Inspection AgencyAgriculture and Agri-Food Canada
FundersCanadian Food Inspection Agency
KeywordsTephritidaeSAINTVacciniumBiologyHorticultureAgency (philosophy)PEST analysisGeographyArtSociology

Abstract

fetched live from OpenAlex

Up to 2017, the Lac Saint-Jean region (Quebec, Canada) produced lowbush blueberries ( Vaccinium angustifolium Aiton) without insecticide treatments. In 2018, the Canadian Food Inspection Agency detected adults of the blueberry maggot ( Rhagoletis mendax Tephritidae) in the Regional County Municipality (RCM) of Maria-Chapdelaine. Monitoring programs of adults and larvae conducted in 2019, 2020, and 2021 confirmed the establishment of R. mendax in the RCM of Maria-Chapdelaine, as well as in the RCM Domaine-du-Roy. In compliance with Directive D-02-04 of the Canadian Food Inspection Agency, blueberry growers of infested areas of Lac Saint-Jean that ship blueberries to noninfested areas must implement an integrated pest management program or a calendar spray program.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.015
GPT teacher head0.196
Teacher spread0.181 · 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

Citations0
Published2022
Admission routes4
Has abstractyes

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