AC Readymade and AC Tempest, selections from Redwin hard red winter wheat
Bibliographic record
Abstract
Thomas, J. B. and Graf, R. J. 2012. AC Readymade and AC Tempest, selections from Redwin hard red winter wheat. Can. J. Plant Sci. 92: 355–361. AC Readymade and AC Tempest are hard red winter wheat (Triticum aestivum L.) cultivars selected from the Montana cultivar ‘Redwin’ to conform to the kernel visual distinguishability requirements of the Canada Western Red Winter (CWRW) wheat class. AC Readymade and AC Tempest were registered in 1991 and 1999, respectively, following 3 yr of testing in the Western Winter Wheat Cooperative registration trials relative to various checks including Winalta, Norstar, CDC Clair and CDC Osprey. The survival characteristics of these cultivars demonstrated that they were well-suited to the relatively mild winter climate of southern Alberta. In this region of the prairies, AC Tempest had 4% higher grain yield than AC Readymade and was not significantly different from the other checks except Winalta, which was lower yielding. Both cultivars displayed relatively late maturity, moderate height, exceptional straw strength, high test weight, large kernels, high grain protein content and moderate resistance to common bunt. AC Tempest had significantly higher flour yield than AC Readymade.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".