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Record W7099933689

DISEASES CAUSED BY PHYTOPLASMAS

2015· article· en· W7099933689 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Ecology and Taxonomy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhytoplasmaPhyllodyDiseaseRosette (schizont appearance)Aster yellows
DOInot available

Abstract

fetched live from OpenAlex

Phytoplasmas (previously referred to as mycoplasma-like-organisms, MLO) are cellular parasites recognized as causing diseases in many crops. Although phytoplasmas are graft transmissible and cause symptoms similar to those typically associated with infection by a virus, they are actually bacteria-like microorganisms; similar to bacteria, remission of the disease symptoms they cause can be achieved experimentally by injecting the antibiotic tetracycline. PEACH DISEASES CAUSED BY PHYTOPLASMAS Peach rosette, peach yellows, little peach, and red suture are reported in peach orchards of the Southeast. However, except for peach rosette, they occur infrequently. Peach yellows disease was first observed in 1791 in Pennsylvania, rosette in 1891 in Georgia, while little peach and red suture were first seen in 1896 and 1911, respectively, in Michigan. Other diseases of peach associated with infection by phytoplasmas occur in other areas of the United States and the world. Peach yellow leaf roll, caused by the western-X phytoplasma, occurs in California. X-disease occurs in the northern United States and Canada. Although peach rosette, peach yellows, little peach, and red suture are distinct diseases, they are all caused by phytoplasmas that are very closely related to the western-X phytoplasma. In Europe, the stone fruit yellows phytoplasma (a species distinct from western-X) causes disease(s) in Prunus.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.270

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 head0.036
GPT teacher head0.198
Teacher spread0.163 · 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 designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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