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Record W2377072946

Research Advances in Hot Pepper Viral Diseases

2015· article· en· W2377072946 on OpenAlex
Wang Pe

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHunan Agricultural Sciences · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsPepperVirus diseasesVirusBiotechnologyBiologyVirologyHorticulture
DOInot available

Abstract

fetched live from OpenAlex

The virus disease is one of the most damaging diseases in pepper, which affects the yield and quality of pepper. Researches on the virus species, virus biological characteristics, detection methods and control methods of pepper virus disease are summarized in this article. Researches that should be studied thoroughly are previewed. Studies show that more than forty kinds of virus have been found in pepper, which can affect the yield and quality of pepper. TMV and CMV are main virus species of pepper, PVY and BBWV are receiving more and more attention in recent years. The detection methods of pepper viral diseases are also increasingly mature. Breeding for disease resistance, agronomic practices and chemical control methods can play a role in the prevention and treatment of viral diseases. It is significant to establish rapid and effective detection methods and innovate virus disease control methods for the improvement of the yield and quality of pepper.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.694
Threshold uncertainty score0.558

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.130
GPT teacher head0.362
Teacher spread0.232 · 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