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Record W4407133777 · doi:10.1094/pdis-09-24-1931-fe

Ecofriendly Control Strategies Against <i>Clavibacter michiganensis</i>, the Causal Agent of Bacterial Canker of Tomato

2025· article· en· W4407133777 on OpenAlexafffund
Nasim Sedighian, Anaelle Guineheux, J.M. van der Wolf, Éric Déziel

Bibliographic record

VenuePlant Disease · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogenic Bacteria Studies
Canadian institutionsInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsClavibacter michiganensisBiologyMancozebBiotechnologyDisease managementBiological pest controlFungicideBacterial diseaseBacteriaMicrobiologyPathogenHorticulture

Abstract

fetched live from OpenAlex

, represents a serious threat to tomato growers worldwide. Diverse approaches have been reported to control this infectious and aggressive bacterium. The current control strategy mostly relies on the application of copper-based products and, to some extent mancozeb and streptomycin, which are leading to growing concerns about resistance promotion, phytotoxicity effect, and environmental pollution. In this paper, we present a comprehensive overview on ecofriendly management strategies to control this phytopathogen. New technologies, including the application of biological and nonbiological inducers integrated with conventional preventive measures, represent a new approach in plant protection to develop a sustainable strategy to fight this devastating disease.[Formula: see text] Copyright © 2025 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.976
Threshold uncertainty score0.240

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.007
GPT teacher head0.196
Teacher spread0.189 · 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 designBench or experimental
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

Citations5
Published2025
Admission routes2
Has abstractyes

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