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Record W4253203646 · doi:10.4141/cjps08095

Jordan oat

2009· article· en· W4253203646 on OpenAlexvenueaboutno aff
Jennifer W. Mitchell Fetch, P. D. Brown, S. D. Duguid, Nancy Ames, J. Chong, T. G. Fetch, S. M. Haber, J. G. Menzies, K. D. Stadnyk

Bibliographic record

VenueCanadian Journal of Plant Science · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYeasts and Rust Fungi Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAvenaBarley yellow dwarfCultivarRust (programming language)AgronomySmutBiologyPlant disease resistanceStem rustCrown (dentistry)Resistance (ecology)Plant virusVirus

Abstract

fetched live from OpenAlex

Jordan is a high-yielding, white-hulled spring oat (Avena sativa L.) cultivar postulated to carry the crown rust resistance combination Pc38, Pc39, and Pc68, which was effective against the prevalent pathotypes of crown rust races on the Canadian prairies at the time of its release. It has very good resistance to loose and covered smut, moderately good resistance to most of the prairie stem rust races (likely due to the presence of Pg2 and Pg13) and moderate tolerance to barley yellow dwarf virus (BYDV). Jordan has high kernel weight, high percent plump kernels, and low percent thin kernels. Jordan exhibits high yielding capacity in the oat growing areas of western Canada. Jordan was supported for registration at the Prairie Grain Development Committee Meeting in February 2005. Key words: Oat, Avena sativa L., cultivar description, yield, milling oat

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.752
Threshold uncertainty score0.158

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 head0.008
GPT teacher head0.215
Teacher spread0.207 · 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 designBench or experimental
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

Citations1
Published2009
Admission routes2
Has abstractyes

Explore more

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