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Record W4236192917 · doi:10.4141/cjps10068

Red River 1997 Roundup Ready<sup>TM</sup> high erucic acid, low glucosinolate summer rape

2010· article· en· W4236192917 on OpenAlexaffvenueabout
P. B. E. McVetty, W. G. Dilantha Fernando, G. Li, M. Tahir, Carla D. Zelmer

Bibliographic record

VenueCanadian Journal of Plant Science · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNitrogen and Sulfur Effects on Brassica
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsErucic acidGlucosinolateBrassicaCultivarAgronomyRiver valleyBiologyHorticultureGeography

Abstract

fetched live from OpenAlex

Red River 1997 summer rape (Brassica napus L.) is the world’s third Roundup ReadyTM high erucic acid, low glucosinolate cultivar. On average, Red River 1997 yielded 13% more seed and 22 g kg–1 more seed oil, but 4 g kg–1 less meal protein than MillenniUM 03 high erucic acid, low glucosinolate summer rape. Red River 1997 has an erucic acid content of 51.4% in isolated field trials of HEAR lines and is adapted to the southern B. napus growing regions of western Canada. Key words: Rape, Roundup ReadyTM high erucic acid, low glucosinolate, cultivar description

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 score0.985
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.007
GPT teacher head0.212
Teacher spread0.205 · 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

Citations2
Published2010
Admission routes3
Has abstractyes

Explore more

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