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Record W2077813472 · doi:10.1094/pdis.2002.86.9.1051c

<i>Chrysomyxa weirii</i> on Colorado Blue Spruce in Wisconsin

2002· article· en· W2077813472 on OpenAlexaboutno aff
G. R. Stanosz, Jane Cummings-Carlson

Bibliographic record

VenuePlant Disease · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYeasts and Rust Fungi Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyForestryRust (programming language)West virginiaGeographyWeirWoody plantArchaeologyBotanyCartography

Abstract

fetched live from OpenAlex

In early June 2002, yellow spots and bands with erumpent telia on previous year's needles of Colorado blue spruce (Picea pungens) were noted in landscape tree nurseries in both northern (Sawyer County) and southern (Dane County) Wisconsin. Many 1 to 2 m tall trees were symptomatic at each location. Based on the age of affected needles, time of year of telium development, and telial characteristics including the size and shape of teliospores, the pathogen was identified as Chrysomyxa weirii, the cause of Weir's cushion rust (1,2). Identification of the pathogen was confirmed by Dale Bergdahl, (School of Natural Resources, University of Vermont), who also observed basidiospores. C. weirii is an autoecious microcyclic rust pathogen known to affect P. englemanii, P. glauca, P. mariana, P. pungens, and P. sitchensis. Although this fungus has been reported in the western United States from the Black Hills of South Dakota to Washington State, in the eastern United States from the southern Appalachian Mountains (Tennessee and West Virginia) to Vermont, and in most Canadian provinces and territories (1,2), to our knowledge, this is the first report from the Great Lakes Region of the United States. The occurrence of Weir's cushion rust in Wisconsin has direct implications for the economically important nursery and Christmas tree industry in this region. References: (1) D. Bergdahl and D. Smeltzer. Plant Dis. 67:918, 1983. (2) W. Ziller. The Tree Rusts of Western Canada. Canadian Forestry Service, Victoria, BC, 1974.

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 score0.148
Threshold uncertainty score0.482

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 head0.013
GPT teacher head0.212
Teacher spread0.199 · 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
Published2002
Admission routes1
Has abstractyes

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