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Record W2009687333 · doi:10.1099/vir.0.80815-0

Complete genome sequences of two new variants of Grapevine rupestris stem pitting-associated virus and comparative analyses

2005· article· en· W2009687333 on OpenAlexaff
Baozhong Meng, Caihong Li, Weizhou Wang, D. E. Goszczynski, Dennis Gonsalves

Bibliographic record

VenueJournal of General Virology · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsUniversity of Guelph
FundersU.S. Department of Agriculture
KeywordsBiologyGenomeGeneticsVirusVirologyGene

Abstract

fetched live from OpenAlex

Grapevine rupestris stem pitting-associated virus (GRSPaV), a member of the genus Foveavirus within the family Flexiviridae, is the putative causal agent of the disease Rupestris stem pitting (RSP) of grapevines. GRSPaV comprises a family of variants whose pathological characteristics have not been determined. Recently, many of the indicator "St George" plants (Vitis rupestris) used throughout the world to index RSP tested positive for GRSPaV. This finding questions the validity of past biological indexing results. In this work, a representative genomic region of GRSPaV was first sequenced from ten "St George" plants from two sources and it was demonstrated that nine of them carried a new variant, GRSPaV-SG1. The genomes of GRSPaV-SG1 and GRSPaV-BS from "Bertille Seyve 5563" plants were sequenced, revealing a genome structure identical to that of GRSPaV-1. It was demonstrated experimentally that infection of "St George" plants with GRSPaV-SG1 is asymptomatic and thus it is proposed that GRSPaV-SG1 infection should not have interfered with the outcome of past indicator indexing. This represents the first attempt to link a GRSPaV variant with pathological properties.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.196
GPT teacher head0.357
Teacher spread0.161 · 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 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

Citations50
Published2005
Admission routes1
Has abstractyes

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