Bibliographic record
Abstract
Thomas, J. B., Conner, R. L. and Graf, R. J. 2012. Radiant hard red winter wheat. Can. J. Plant Sci. 92: 169–175. Radiant hard red winter wheat (Triticum aestivum L.) is well adapted to the non-hazard region for stem rust (Puccinia graminis Pers.: Pers. f. sp. tritici Eriks. & E. Henn.) within the Canadian prairies. Based on evaluation relative to Norstar, CDC Osprey, AC Tempest and AC Bellatrix in the Western Winter Wheat Cooperative registration trials, Radiant was similar in grain yield to AC Bellatrix, the highest yielding check. Radiant displayed very good winter survival, relatively late maturity, moderate height, very strong straw, high test weight and large seeds. It is the first Canadian wheat cultivar with resistance to colonization by the wheat curl mite (Aceria tosichella Keifer), the sole vector of wheat streak mosaic. Radiant was also shown to have good resistance to the prevalent races of stripe rust. It is susceptible to stem rust, leaf rust and common bunt. Radiant is eligible for all grades of the Canada Western Red Winter (CWRW) wheat class, having demonstrated a desirable combination of grain protein content, milling properties, dough functionality and baking performance. It has gained widespread commercial acceptance, particularly in Alberta.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.006 |
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".