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Record W7064302652

Caratterizzazione molecolare di ‘Candidatus Phytoplasma asteris’ in ortensia in Canada

2013· article· en· W7064302652 on OpenAlexaboutno aff

Bibliographic record

VenueArchivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsPhytoplasmaPhyllodyAster yellowsVirescencePolymerase chain reactionDNA sequencingGeneSequence analysis16S ribosomal RNADNA
DOInot available

Abstract

fetched live from OpenAlex

Hydrangea species are infected by phytoplasmas belonging to subgroups 16SrI-A and\n16SrI-B (aster yellows) inducing phyllody and virescence worldwide. In Japan some of\nthe phytoplasma associated such disease were classified as ‘Candidatus Phytoplasma\njaponicum’, moreover 16SrXII-A phytoplasmas were identified in Bulgaria and\nmore recently in Italy. The hydrangea phyllody disease was associated with 16SrI-B\nphytoplasmas in Canada, however no fine molecular characterization was carried\nout on the phytoplasmas in that country. Hydrangeas showing symptoms similar to\nthose associated with phytoplasma diseases were found and collected from landscape\nareas in South-western Ontario, Canada. Phytoplasmas belonging aster yellows group\nwere detected in all symptomatic samples tested by two different methodologies.\nDirect sequencing and sequence obtained after cloning of the 16Sr DNA gene show\nconfirmation of reported classification and the amplification and sequencing of groEL\ngene confirm previous classification in subgroup 16SrI-B and allow to enclose aster\nyellows phytoplasmas in hydrangeas from Canada in the groELI-III group that up to\nnow was only detected in Europe.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.073

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 studies0.0020.000
Scholarly communication0.0010.000
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 head0.009
GPT teacher head0.202
Teacher spread0.193 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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