Baba Canada Western Red Spring wheat
Bibliographic record
Abstract
Baba Canada Western Red Spring (CWRS) Wheat was developed at the University of Alberta using a modified bulk breeding method. Evaluated over 3 years (2020–2022) in the Parkland Wheat Registration Trials, Baba produced slightly higher (but not statistically significant) grain yields than Glenn, Parata, and Carberry but significantly lower than AAC Brandon. Baba matured significantly earlier than AAC Brandon, Carberry, and Glenn, but significantly later than Parata. Baba has yields comparable to Carberry but with the added advantage of earlier maturity by 2 days. Its plant height was significantly shorter than Glenn and Parata, but comparable to AAC Brandon and Carberry, with lodging tolerance within the range of the check cultivars. Although Baba had lower test and kernel weights than the checks, its grain protein content was higher than Carberry’s and similar to the other checks. Baba exhibited a good resistance to prevalent races of leaf rust, stem rust, stripe rust, and Fusarium head blight, though its response to common bunt was variable. Across 3 years of end-use quality evaluations, Baba met all requirements of the CWRS wheat market class. Notably, it showed improvements in falling number and flour yield, reinforcing its suitability for milling and baking applications. With its combination of early maturity, stable yield, good disease resistance, and desirable quality traits, Baba is a well-adapted wheat cultivar suited for cultivation in Western Canada.
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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 | 0.002 | 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) | 0.006 | 0.002 |
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".