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Record W2335656462 · doi:10.1139/cjps-2016-0229

HYHEAR 3 Roundup Ready® high erucic acid, low glucosinolate hybrid summer rape

2017· article· en· W2335656462 on OpenAlexaffvenueabout
Robert W. Duncan, P. B. E. McVetty, Janice Duguid, S. L. Fox, W. Paulmann, Olaf Sass, W. G. Dilantha Fernando, Genyi LI

Bibliographic record

VenueCanadian Journal of Plant Science · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNitrogen and Sulfur Effects on Brassica
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsErucic acidGlucosinolateRapeseedBrassicaCultivarAgronomyBiologyMealHorticultureFood science

Abstract

fetched live from OpenAlex

HYHEAR 3 summer rape (Brassica napus L.) is a Roundup Ready®, high erucic acid, low glucosinolate cultivar. On average, HYHEAR 3 yielded 15.6% more seed, 4 g kg−1 less seed oil, and 22 g kg−1 less meal protein than Red River 1861 Roundup Ready®, high erucic acid, low glucosinolate summer rape. HYHEAR 3 has an erucic acid content of 50.9% in isolated field trials of high erucic acid rapeseed (HEAR) genotypes and is adapted to the southern B. napus growing regions of western Canada.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.012
GPT teacher head0.238
Teacher spread0.226 · 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 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

Citations3
Published2017
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Plant ScienceSame topicNitrogen and Sulfur Effects on BrassicaFrench-language works237,207