Ethnobotany, phytochemistry, cultivation and medicinal properties of Garden sage (Salvia officinalis L.)
Bibliographic record
Abstract
Sage (Salvia officinalis L.) is an important medicinal and aromatic herb, used as a raw material for various perfumery, pharmaceutical, food, and cosmetics industries. S. officinalis belonging to the family Lamiaceae is commercially cultivated for the essential oil and is grown throughout Europe and the United States, and in parts of Turkey, Yugoslavia, and Canada. Leaves are highly aromatic, used for extraction of essential oil, which contains more than 49 aromatic components. The principal components in the sage oil are 1, 8-cineole, camphor, α-thujone, β-thujone, α-humulene, rosmarinic acid, and quercetin. Traditionally garden sage has been used for the treatment of a multitude of ailments such as localized pain, rheumatism, convulsion, arthritis, vertigo, diarrhea, sclerosis, respiratory, metabolic and mental disorders. As the herbal medicines gaining importance in recent years, usage and systematic documentation of such herb are found essential. Thus an effort has been made to collect review about the study on chemistry, its cultivation, medicinal utilization besides its ethnobotanical documentation. Various pharmacological studies revealed that extracts from sage have shown to possess anti-oxidant, anti-diabetic, anti-inflammatory, anti-microbial, anti-cancer and hypolipidemic properties. There were several reports on in-vitro and animal studies confirming its potential cognitive property and its use on memory and nerve related disorders. Environmental conditions suitable for the plant growth, propagation methods, cultural practices, and harvesting methodology are also discussed in detail.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".