Cultivars of roses of Canadian breeding in collection of M.M. Gryshko National Botanical Garden of the NAS of Ukraine
Bibliographic record
Abstract
The history of rose breeding in Canada is represented. The collection of roses fund of the M.M. Gryshko National Botanical Garden of the NAS of Ukraine is analysed. As a result of screening of collection 17 cultivars of Canadian breeding, including 6 cultivars of Explorer series and 7 cultivars of Parkland series were revealed. Morphological and biological particularities of cultivars of Canadian breeding in the collection of M.M. Gryshko National Botanical Garden are studied. The evaluation of the level of their decorative value, winter hardiness and economically valuable features is made. As a result of the evaluation of cultivars according to the decorative features and economically valuable characteristics 14 cultivars of Canadian roses (Agnes, Therese Bugnet, Alexander Mackenzie, Champlain, Georges Vancouver, Henry Kelsey, John Davis, Praire Dawn, Adelaide Hoodles, Morden Blush, Praire Joy, Winnipeg Park, Hope for Humanity, Morden Sunrise) are recommended for use in landscape construction. It is concluded that Canadian cultivars of roses can become donors of such a valuable feature as winter hardiness, and therefore they are beneficial material for modern breeding research.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".