AAC Hassler Canada Western Red Spring wheat
Bibliographic record
Abstract
AAC Hassler (PT496) is an early maturing, high yielding, awned, and hollow stemmed Canada Western Red Spring (CWRS) wheat ( Triticum aestivum L.) cultivar suited to growing conditions in the northern Canadian Prairies. AAC Hassler yielded 8% more than Glenn, 6% more than Parata, and 6% more than Carberry in the Parkland Wheat Registration Trials (2019–2021). AAC Hassler matured 4 days earlier than Carberry and had similar maturity as Parata. AAC Hassler had similar height to Glenn and the lodging score was similar to Parata. The test weight of AAC Hassler was 2% lower than the mean of the checks and the thousand kernel weight was similar to Glenn. AAC Hassler had protein content 0.1% higher than Carberry. AAC Hassler expressed an intermediate resistant reaction to Fusarium head blight (FHB; Fusarium graminearum Schwabe). AAC Hassler 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 Hassler was susceptible to orange wheat blossom midge ( Sitodiplosis mosellana Géhin). AAC Hassler 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".