Bibliographic record
Abstract
Mitchell Fetch, J. W., Brown, P. D., Ames, N., Chong, J., Fetch, Jr., T. G., Haber, S. M., Menzies, J. G., Townley-Smith, T. F. and Stadnyk, K. D. 2011. Stainless oat. Can. J. Plant Sci. 91: 357-361. Stainless is a grey-hulled spring oat (Avena sativa L.) cultivar postulated to carry the crown rust resistance gene, Pc91, which was effective against the prevalent pathotypes of crown rust races on the Canadian prairies at the time of its release. Stainless could possibly also carry one or more of the crown rust resistance genes, Pc38, Pc39, and Pc68. It had very good resistance to loose and covered smut, good resistance to the prairie stem rust races (likely due to the presence of Pg2, Pg13, and Pga) and moderate tolerance to barley yellow dwarf virus (BYDV). Stainless had high kernel weight, intermediate percent plump kernels, intermediate percent thin kernels, and high levels of total dietary fibre. Stainless exhibited high yielding capacity in the eastern portion of the Black soil zone of western Canada where resistance to rust diseases is important. Stainless was supported for registration by the Prairie Grain Development Committee in February 2007. Stainless was registered (Reg. No. 6422) on 2008 Apr. 07.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.053 | 0.025 |
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".