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Record W2026893333 · doi:10.1080/07060660709507475

Evidence for the occurrence of<i>Prunus necrotic ringspot virus</i>on peach in India by serological and molecular methods

2007· article· en· W2026893333 on OpenAlexvenueno aff
Vanita Chandel, Tanuja Rana, Vipin Hallan, A. A. Zaidi

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsnot available
FundersDepartment of Science and Technology, Ministry of Science and Technology, India
KeywordsPrunusSerologyBiologyVirologyPolymerase chain reactionGenePrimer (cosmetics)VirusPlant virusNucleic acid sequenceAntibodyBotanyGeneticsChemistry

Abstract

fetched live from OpenAlex

Prunus necrotic ringspot virus (PNRSV) is a widespread virus that causes tremendous losses on stone fruits. Necrotic symptoms typical of the virus were observed on the leaves of peach trees, Prunus persica ‘Elberta’, during a survey of the Kullu area of Himachal Pradesh, a northern state of India. PNRSV-specific antibodies were used for serological detection, and positive results were obtained. Molecular detection of the coat-protein (CP) gene of the PNRSV by means of reverse transcription – polymerase chain, with a primer pair that amplifies the complete CP region, amplified the ~700-bp product, which showed a maximum of 98% identity with an isolate from the United States. Multiple alignment of the CP sequence with that of other PNRSV isolates showed 87%–100% identity at the nucleotide and amino acid level.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.338
Teacher spread0.250 · 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

Citations7
Published2007
Admission routes1
Has abstractyes

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