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Strawberry Green Petal Disease Pathosystem in Québec, Canada

2025· article· en· W4407609791 on OpenAlexaffabout
Abraão Almeida Santos, Joshua Molligan, Nicolas Plante, Edel Pérez‐López

Bibliographic record

VenuePlant Health Cases · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytoplasmas and Hemiptera pathogens
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPathosystemPetalBiologyHorticulture

Abstract

fetched live from OpenAlex

Abstract The emergence and re-emergence of pathosystems are expected to increase with ongoing climate change. Strawberry green petal disease (SbGP) is caused by phytoplasmas transmitted by two leafhopper species, Aphrodes bicinctus and Macrosteles quadrilineatus , in strawberry crops. In Québec, SbGP was frequently reported between 1950 and 1970. However, recent surveys (2012–2022) indicate an increased disease incidence in strawberry fields. While it is unclear whether this increase indicates a re-emergence or underreporting, understanding these pathosystem components can help clarify the underlying causes. This case study reviews the SbGP pathosystem, historical reports, and existing control measures, emphasizing the importance of ongoing and future research to address identified gaps. Although SbGP currently poses a limited economic threat, the interactions within the pathosystem could be exacerbated by warming temperatures, potentially leading to increased vector populations, altered phytoplasma development, susceptibility of strawberry plants, and consequently, severe outbreaks and a broader geographic distribution of the disease. Information © The Authors 2025

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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.251

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 studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.016
GPT teacher head0.219
Teacher spread0.203 · 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 designCase report
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

Citations2
Published2025
Admission routes2
Has abstractyes

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