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Record W3146537980 · doi:10.1079/dmpd/20153159080

Tomato ringspot virus. [Distribution map].

2015· article· en· W3146537980 on OpenAlexaboutno aff
CABI, EPPO

Bibliographic record

VenueDistribution Maps of Plant Diseases · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyChinaDistribution (mathematics)ArchaeologyEnvironmental protection

Abstract

fetched live from OpenAlex

Abstract A new distribution map is provided for Tomato ringspot virus. Picornavirales: Secoviridae: Nepovirus. Hosts: various including Pelargonium spp., Rubus spp. and Prunus spp. Information is given on the geographical distribution in Europe (Belarus, Bulgaria, Croatia, Czech Republic, Denmark, France, Germany, Italy, Lithuania, Netherlands, Norway, Poland, Russia, Central Russia, Russian Far East, Serbia, Slovakia, Slovenia, Sweden, UK, England and Wales), Asia (China, Zhejiang, India, Himachal Pradesh, Iran, Japan, Hokkaido, Honshu, Jordan, Korea Republic, Oman, Pakistan and Turkey), Africa (Egypt, Togo and Tunisia), North America (Canada, British Columbia, Manitoba, New Brunswick, Ontario, Quebec, Mexico, USA, Alabama, Arkansas, California, Colorado, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Kansas, Kentucky, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Montana, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin and Wyoming), Central America and Caribbean (Puerto Rico), South America (Brazil, Rio Grande do Sul, Chile, Colombia, Peru and Venezuela) and Oceania (Australia, South Australia, Fiji and New Zealand).

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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.140
Threshold uncertainty score0.308

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 head0.037
GPT teacher head0.256
Teacher spread0.219 · 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
GenreDataset

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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