Review: Research progress in amur grape, <i>Vitis amurensis</i> Rupr.
Bibliographic record
Abstract
Liu, L. Y. and Li, H. 2013. Review: Research progress in amur grape, Vitis amurensis Rupr. Can. J. Plant Sci. 93: 565–575. Vitis amurensis Rupr., which originates in China and has several important traits, such as cold- and disease-resistance, is now commercially cultivated in China. Vitis amurensis has a strong root system and high growth vigor allowing it to survive temperatures as low as −40°C without the need to bury its vines, saving inputs in vineyard management. During growth, V. amurensis vines have high resistance to many diseases, such as grape white rot and grape anthracnose, and are thus often used as a disease-resistant stock as well as the most powerful cold-resistant rootstock to breed materials for novel cultivars. As a wine grape, the fruit fragrance and distinctive taste are unique for making high quality red and sweet wines, which have a brilliant ruby red color, fine fragrance, and a full-bodied and distinctive taste. Vitis amurensis grapes and the wines made from them contain abundant bioactive natural substances, which have important effects on lowering human blood pressure, antioxidation, anti-aging, cardiovascular disease prevention, etc. The present article addresses research progress and the utilization of V. amurensis achieved in the past decades. Further studies are proposed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".