A review on Phytochemical and biological properties of Calotropis gigantea (Linn) R.Br.
Bibliographic record
Abstract
Calotropis gigantea Linn is a well known medicinal herb commonly known as Madar and has been used in Unani, Ayurveda and Siddha system of medicine for years. It is a native of India, China and Malaysia and distributed in almost all over world. All parts of the plant have been used as a medicine as well as an important ingredient in a number of Unani formulations used for the treatment of various ailments. In classical Unani literature it is mentioned to have anthelmintic, appetizer, anti flatulence, astringent, tonic, expectorant, emetic, diaphoretic, anti inflammatory, sedative, wound healer, antidote and digestive properties and used in asthma, stomach ache, cholera, amenorrhea and toothache. Phytochemical constituents include giganteol, and calotropeol, -amyrin, giganteol and isogiganteol etc. The drug has been reported for its anti asthmatic, antioxidant, antibacterial, antiviral, wound healing, antiinflammatory, antidiarrhoeal, hepatoprotective and hypoglycemic activities. In this article the recently published papers were reviewed. Well known scientific search engines viz. Pub med, Medline, Google scholar, and Science Direct were used to retrieve online literature. All referred studies published in peer reviewed indexed journals were included. For Unani literature classical text and manuscripts were referred.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".