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Record W4404787687 · doi:10.1094/pdis-09-24-1873-re

Epidemiology of Tomato Brown Rugose Fruit Virus in Commercial Greenhouses

2024· article· en· W4404787687 on OpenAlexaffabout
Eduardo Rosa, Audrey‐Anne Durand, Caroline Provost, Philippe Constant

Bibliographic record

VenuePlant Disease · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsSonaca (Canada)Institut National de la Recherche Scientifique
Fundersnot available
KeywordsBiologyGreenhouseVirusHorticultureVirology

Abstract

fetched live from OpenAlex

The tomato brown rugose fruit virus (ToBRFV) poses a considerable threat to tomato production worldwide. Substantial experimental evidence supports the role of infected seeds as a contamination route, but the epidemiologic portrait of the virus has received less attention. This study reports the first survey of ToBRFV prevalence in commercial greenhouses. The aim was to examine the distribution of the virus in relation to greenhouse size and management practices in Québec (Canada). Plant samples collected at three production stages in 31 commercial greenhouses were subjected to ToBRFV detection and genome sequencing. The virus was detected in seven commercial greenhouses (11 positive samples out of 311 analyzed). Retrieved partial genome sequences formed a cluster with ToBRFV variants from Canada and Mexico, suggesting cross-border propagation through commercial trades. There was no link between greenhouse features and ToBRFV diagnosis, indicating that no specific profile is more susceptible to infection than others.

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)0.000
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 score0.175
Threshold uncertainty score0.348

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.088
GPT teacher head0.315
Teacher spread0.227 · 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

Citations4
Published2024
Admission routes2
Has abstractyes

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