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Record W2980391268 · doi:10.30843/nzpp.2014.67.5777

The search for white tip of Californian thistle in New Zealand

2014· article· en· W2980391268 on OpenAlexaffabout
Michael G. Cripps, K. L. Bailey, Charles N. Merfield, Sarah Jackman, G.W. Bourd t

Bibliographic record

VenueProceedings of the New Zealand Weed Control Conference · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicTurfgrass Adaptation and Management
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsThistleBiologyBioherbicideCirsium arvenseWhite (mutation)Plant diseaseWeedAgronomyBiotechnology

Abstract

fetched live from OpenAlex

Phoma macrostoma is a cosmopolitan fungus pathogenic to a wide range of herbaceous and woody plant species but nonpathogenic to most grasses Recently a strain of P macrostoma pathogenic to Californian thistle (Cirsium arvense) and other broadleaf weeds was registered as a bioherbicide in Canada for use in turf grass and arable cropping systemsThis strain causes a condition known as white tip disease that is characterised by symptoms of yellow to white chlorosis commonly referred to as photobleaching Symptoms characteristic of white tip disease have been observed on Californian thistle in New Zealand but it is uncertain if the causal agent is P macrostoma The aim was to determine if strains of P macrostoma that cause white tip disease and are genetically similar to the Canadian bioherbicide strain are present in New Zealand The presence of such strains would facilitate the registration of this pathogen as a bioherbicide since most safety requirements will have been satisfied by overseas research People in the agricultural industry are encouraged to look for Californian thistle with white tip symptoms and send samples to AgResearch for identification

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 score0.500
Threshold uncertainty score0.994

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 studies0.0010.000
Scholarly communication0.0000.000
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 head0.011
GPT teacher head0.219
Teacher spread0.208 · 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
Published2014
Admission routes2
Has abstractyes

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