AAC Darby Canada Western Red Spring wheat
Bibliographic record
Abstract
AAC Darby (PT495) is an early maturing, high yielding, awned and hollow stemmed Canada Western Red Spring (CWRS) wheat ( Triticum aestivum L.) cultivar suited to the growing conditions in the northern Canadian Prairies. AAC Darby was higher yielding than all the check varieties in the Parkland Wheat Cooperative (Park C) registration trials (2018–2020). AAC Darby was 6% higher yielding than Parata and 5% higher yielding than Carberry. AAC Darby matured 5 days earlier than Carberry and 1 day earlier than Parata. AAC Darby was similar in height to Glenn at 2 cm taller. The lodging score for AAC Darby was similar to the mean of the checks. The test weight of AAC Darby was similar to Carberry and the 1000-kernel weight was similar to Glenn and higher than Parata. AAC Darby had protein content only 0.07% lower than Carberry. AAC Darby expressed an intermediate resistant reaction to Fusarium head blight (FHB; Fusarium graminearum Schwabe). AAC Darby was moderately resistant to the prevalent races of stem rust ( Puccinia graminis Pers. f. sp. tritici Eriks. & E. Henn) and moderately susceptible to common bunt [ Tilletia caries (DC) Tul. & C. Tul.]. It was resistant to prevalent races of leaf rust ( Puccinia triticina Erikss.) and stripe rust ( Puccinia striiformis Westend). AAC Darby was resistant to orange wheat blossom midge (OBWM) ( Sitodiplosis mosellana Géhin). AAC Darby was registered under the CWRS class.
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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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 0.007 |
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".