Registration of ‘Canmore’ Barley
Bibliographic record
Abstract
Interest has been growing in barley (Hordeum vulgare L.) cultivars that meet the specialized needs of a diverse marketplace while still providing producers with robust, high‐yielding types. In response to this challenge, the Alberta Barley Commission worked closely with Sanwa Shurui Co., Ltd. and the Field Crop Development Centre (FCDC) to develop selection criteria in barley for shochu production. Shochu is a popular alcoholic beverage in Japan. As part of the project, ‘Canmore’ (Reg. No. CV‐366, PI 685640; Canadian Food Inspection Agency Reg. No. 7392; Canadian PBR Appl. No. 5237), a two‐rowed, hulled, spring barley for food and general purpose uses, was developed. Canmore was derived using single seed descent from one F2 seed to a F5 headrow. It was tested as J02039005 in FCDC trials from 2004 to 2012 and as TR10694 in Prairie Recommending Committee for Oat and Barley trials in 2010 and 2011. It was registered in Canada as Canmore. Canmore has excellent pearling properties, starch content, and alcohol yield for shochu production. It is resistant to surface‐borne and loose smuts, moderately resistant to scald and spot form of net blotch, and intermediately resistant to common root rot, spot blotch, and Fusarium head blight. Canmore has good potential in the food barley market for shochu as well as good yield, disease resistance, and agronomic traits for general production in the northern Great Plains.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.097 | 0.040 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".