Bibliographic record
Abstract
Stevia (Stevia rebaudiana) indiginously known as 'Madhurguna' is a sweet perennial plant that belongs to the family Asteraceae. It is also called as Sweet herb of Paraguay. This plant is a native of South America which is also the centre of diversity. As a crop it is popular in few countries such as Japan, China, Taiwan, Thailand, Korea, Mexico, USA, Malaysia, Indonesia, Tanzania and Canada. It was introduced for the first time in South India during 1997. However, in North India, this plant was introduced by Institute of Himalayan Bioresource Technology (IHBT) during 2000. It is now under cultivation in Uttaranchal, HP, Punjab, Haryana, Chattisgarh, UP, MP and Jammu & Kashmir. S. rebaudiana commercially exploited for the diterpene glycosides, stevioside (10-12%) and rebaudioside A (3- 4%). The sweetness of the plant is not only free of calories, but it does not get metabolized in the body. This is used for the manufacture of chewingum, tooth paste, mouth wash and antismoking pills etc. The sweetness in Stevia is attributed to the presence of 10 different ent-kaurene diterpene glycosides and is 300 times as sweet as cane-sugar. The fresh leaves are 30 times sweeter than sucrose obtained from cane sugar. Stevia can be grown as a
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.461 | 0.217 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".