AAC Walker Canada Western Red Spring Wheat
Bibliographic record
Abstract
AAC Walker (BW1116) is a hollow-stemmed, awned, and high yielding Canada Western Red Spring (CWRS) wheat cultivar suited to the growing conditions of western Canada. AAC Walker was 7% higher yielding than AAC Brandon and 5% higher yielding than AAC Viewfield in the Central Bread Wheat Cooperative (CBWC) registration trials (2020–2022). AAC Walker had maturity, height, and lodging similar to Carberry. It was 11 cm shorter than Unity. The test weight of AAC Walker was similar to AAC Brandon and 1000-kernel weight similar to AAC Viewfield. The grain protein content of AAC Walker was 0.6 units lower than AAC Brandon. AAC Walker expressed moderately resistant reaction to Fusarium head blight ( Fusarium spp.) and common bunt ( Tilletia caries (DC) Tul. & C. Tul.). AAC Walker was resistant to prevalent races of leaf rust ( Puccinia triticina Erikss.), stem rust ( Puccinia graminis Pers. f. sp. tritici Eriks. & E. Henn), and stripe rust ( Puccinia striiformis Westend) prevalent in western Canada. AAC Walker was resistant to orange wheat blossom midge ( Sitodiplosis mosellana Géhin). AAC Walker was deemed to fit the CWRS wheat class by the Canadian Grain Commission (CGC) and registered with Canadian Food Inspection Agency (CFIA).
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 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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.040 | 0.011 |
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".