Bibliographic record
Abstract
Graf, R. J., Beres, B. L., Laroche, A., Gaudet, D. A., Eudes, F., Pandeya, R. S., Badea, A. and Randhawa, H. S. 2013. Emerson hard red winter wheat. Can. J. Plant Sci. 93: 741-748. Emerson hard red winter wheat (Triticum aestivum L.), a cultivar developed using doubled haploid technology, was registered for western Canadian production in 2012. It is eligible for grades of the Canada Western Red Winter (CWRW) wheat market class. Evaluation across western Canada from 2008 to 2010 was relative to CDC Osprey, AC Bellatrix, Radiant, and CDC Buteo, the CWRW wheat checks in the Western Winter Wheat Cooperative Registration trials. Overall, Emerson had significantly lower grain yield than the mean of these checks; however, in the stem rust, leaf rust and fusarium head blight prone eastern prairies the grain yield of Emerson was not significantly different from CDC Buteo and CDC Falcon, which have been the predominant cultivars in this region. Emerson had good winter survival, intermediate maturity, medium height, strong straw, high test weight, and high grain protein concentration. It expressed improved resistance to fusarium head blight, stem rust, leaf rust, and stripe rust relative to the checks. End-use suitability analysis indicated that Emerson had strong dough rheology, and excellent milling and baking properties.
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 | 0.000 |
| 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) | 0.016 | 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".