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Record W7100390860

The Plant Pathology Journal ©The Korean Society of Plant Pathology First Report of Neofusicoccum parvum associated with Bark Dieback of Blueberry in Korea

2016· article· en· W7100390860 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsBlightBark (sound)CropPlant diseaseDisease
DOInot available

Abstract

fetched live from OpenAlex

native to North America, belongs to the family Ericaceae. Blueberry grows abundantly in Canada and the United States and has become a popular commercial crop in Korea. Blueberry, has been widely cultivated in Korea because of its health benefits including anti-cancer, anti-oxidant, macular degeneration etc. More than 15 % of blueberry was produced in Gochang and Sunchang of Korea. In September, 2009, bark dieback disease of blueberry was first observed in Sunchang (< 5%), Jeollabuk-do, Korea. The typical symptoms of the disease are blight and dieback of the stems, with lesions extending along the entire branches (Fig. 1A). The cross section of the stem, in the process of dieback, appeared brown and water-soaked (Fig. 1B). Perithecia were globose type, 25% emergent from the surface with dimensions of 145−245 µm (Fig. 1C). Ascospores were spindle or barrel shaped, smooth hyaline, brown in color, biseptate with darker middle cells, and had a length

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.011
GPT teacher head0.205
Teacher spread0.194 · 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 designCase report
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

Citations0
Published2016
Admission routes1
Has abstractyes

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