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Record W2389656014

Symptomatological Studies of Cymbidium Mosaic Virus and Odontoglossum Ringspot Virus Infections on Three Tropical Orchids

2011· article· en· W2389656014 on OpenAlexaff
Zeng Yanjun

Bibliographic record

VenueChinese Journal of Tropical Agriculture · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsPhalaenopsisDendrobiumChlorosisBiologyVirologyMosaic virusPlant virusMosaicCymbidiumBotanyVirus
DOInot available

Abstract

fetched live from OpenAlex

Cymbidium mosaic virus(CymMV) and Odontoglossum ringspot virus(ORSV) are two mostcommon and economically important orchid viruses in Hainan.The morphology and symptomatology of CymMV and ORSV are described.Various types of symptoms,i.e.yellow spots,chlorotic mosaic,ringspots with sunken necrotic lines and distorting leaves,have been observed on leaves of CymMV-infected Phalaenopsis;Various types of symptoms,i.e.mosaic,yellow spots,chlorotic mosaic orreddening of all the leaf,necrotic spot and pucker,have been observed on leaves of CymMV-infected Dendrobium;Various types of symptoms,i.e.mosaic,vein chlorosis,have been observed on leaves ofCymMV-infected Oncidium.Symptoms,i.e.ringspot,systemic chlorosis,necrosis,pucker appear on theleaves of ORSV-infected Phalaenopsis,while mosaic appears on the leaves of ORSV-infected Oncidium.ORSV has not been found on the Dendrobium orchid.The morphology and symptomatology of CymMV and ORSV described here may provide a reference for differentiating virus infections on Phalaenopsis,Dendrobium,Oncidium in the field.

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 score0.004
Threshold uncertainty score0.009

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 integrity0.0000.001
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 head0.046
GPT teacher head0.277
Teacher spread0.231 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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