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Record W2619103066 · doi:10.1139/cjps-2016-0382

Brasetto hybrid winter rye

2017· article· en· W2619103066 on OpenAlexafffundvenueabout
Peer Wilde, Brigitta Schmiedchen, Jennifer C. Menzel, Andrés Gordillo, Brian Fowler

Bibliographic record

VenueCanadian Journal of Plant Science · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and fungal interactions
Canadian institutionsUniversity of Saskatchewan
FundersCanadian Food Inspection Agency
KeywordsSecaleCultivarFalling NumberAgronomyBiologyGrain qualityGrain yieldWinter wheatYield (engineering)

Abstract

fetched live from OpenAlex

Brasetto is one of the first two hybrid winter (fall) rye (Secale cereale L.) cultivars to be registered for production in Canada. In registration trials, its grain yield was 42% higher than the mean of the check entries and 23% higher than the highest yielding reference cultivar, Hazlet. It has a very high falling number, which is of special interest in the food market. Except for lower grain protein content and a slightly higher ergot [Claviceps purpurea (Fr.) Tul.] level, the rest of its measured agronomic and quality characters have been better than or within the range of the Fall Rye Co-operative Registration Trial check cultivars in Canada. Its expected end use will be primarily for food and feed grain.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.670
Threshold uncertainty score0.923

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.031
GPT teacher head0.227
Teacher spread0.196 · 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 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

Citations8
Published2017
Admission routes4
Has abstractyes

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