AAC Wildfire hard red winter wheat
Bibliographic record
Abstract
AAC Wildfire is a hard red winter wheat (Triticum aestivum L.) cultivar eligible for grades of Canada Western Red Winter (CWRW) wheat. It was developed using a modified pedigree breeding method. AAC Wildfire was evaluated across western Canada for four years in the Western Winter Wheat Cooperative registration trials, where it yielded significantly more grain than all of the checks (Radiant, CDC Buteo, Flourish, Moats) and expressed very good winter survival, relatively late maturity, medium height straw with very good lodging resistance, large kernels, acceptable end-use quality, and disease resistance appropriate for the western region of the Canadian prairies. AAC Wildfire was resistant to the prevalent races of stripe rust, moderately resistant to Fusarium head blight and common bunt, showed improved leaf spot reaction, and tolerance to the original biotype of Russian wheat aphid (Diuraphis noxia Mordvilko) in North America. In the absence of effective fungicides, production of AAC Wildfire in the eastern Prairies is not recommended due to stem rust susceptibility.
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) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".