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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 OpenAlex
Charles Vincent, Pierre-Olivier Martel, Judith Gagnon, Olivier Morin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score0.642

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
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