AAC Elevate hard red winter wheat
Bibliographic record
Abstract
Graf, R. J., Beres, B. L., Randhawa, H. S., Gaudet, D. A., Laroche, A. and Eudes, F. 2015. AAC Elevate hard red winter wheat. Can. J. Plant Sci. 95: 1021-1027. AAC Elevate is a hard red winter wheat (Triticum aestivum L.) cultivar that is well adapted across western Canada and eligible for all grades of the Canada Western Red Winter (CWRW) wheat class. It was developed using wheat×maize-pollen doubled haploid methodology. AAC Elevate was evaluated in the Western Winter Wheat Cooperative Registration trials relative to CDC Osprey, AC Bellatrix, Radiant and CDC Buteo for 3 yr (2011-2013), with Flourish and Moats added as checks in the latter 2 yr. Based on these 35 replicated trials, AAC Elevate produced higher grain yield than all of the checks (103.3-114.4%) and exhibited good winter survival, medium height with excellent straw strength, large kernels, acceptable end-use quality, and broad disease resistance. AAC Elevate expressed moderate resistance to stem rust and common bunt, intermediate resistance to leaf rust, stripe rust and Fusarium head blight, and resistance to colonization by the wheat curl mite vector for wheat streak mosaic virus.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".