Phytochemical Screening of Murraya koenigii (L.) Spreng
Bibliographic record
Abstract
Murraya koenigii (L.) Spreng., commonly known as curry leaf tree is well known in Ayurvedic medicinal system for its varied pharmacological activities like anticancer activity, antioxidant activity, anti-inflammatory activity, anthelmintic activity, antidiabetic and antimicrobial activity. The leaves of this tree had been commonly used to enhance the flavour in culinary purposes for its specific taste and aroma. It's Stem part is commonly used as datun for oral health care purposes.The secondary metabolites present in the plant are also known for its different pharmacological activities. The present study focuses on preliminary qualitative phytochemical Screening and analysis from the hydroalcoholic extracts of root, stem and leaves part which detected the presence of alkaloids, phenols, flavonoids, terpenoids, steroids and tannins in the prepared hydroalcoholic extracts using Soxhlet extraction method.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".