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Record W2152982384 · doi:10.5539/ijb.v6n1p95

Detection of Beet Necrotic Yellow Vein Virus by Double Stranded RNA Analysis

2013· article· en· W2152982384 on OpenAlexvenueno aff
Handan ÇULAL KILIÇ, Nejla Yardımcı, Gözde Ürgen

Bibliographic record

VenueInternational Journal of Biology · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant and Fungal Interactions Research
Canadian institutionsnot available
Fundersnot available
KeywordsSugar beetRNA silencingBiologyPlant virusRNAMosaic virusVirologyVirusHorticultureGeneGeneticsRNA interference

Abstract

fetched live from OpenAlex

Beet necrotic yellow vein virus (BNYVV), the type member of the Benyvirus genus, has a multipartite, positive-sense single-stranded RNA genome, which consists generally of four, or in some isolates five, distinct RNA species. In this study, 108 BNYVV infected soil samples were collected from Isparta province, Turkey. Sugar beet plants cv Kasandra were grown in these soil samples using bait plant techniques and root samples were then analyzed by dsRNA analysis. The RNA was purified by CF-11 cellulose chromatography and gel electrophoresis. In 108 samples tested, dsRNA profiles were observed in 53 samples. No dsRNA bands were observed in negative control used in the analysis.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.285

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 head0.013
GPT teacher head0.307
Teacher spread0.294 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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