Evaluation of phytochemical, physicochemical and biochemical analysis of saaranai ver chooranam (the root of Trianthema decandra linn,)-a Siddha herbal medicine
Bibliographic record
Abstract
Abundant herbal remedies separately or in combination have been recommended in various medical treatises for the remedy of different diseases, Trianthema decandra Linn, (Family: Aizoaceae) familiarly known as Vellai Saaranai (Tamil) and Punarnavi (Sanskrit) is a procumbent herb widespread in the tropical and subtropical regions of the world, and also found abundantly in India. It has been widely known in different system of traditional medicines, used efficiently in Siddha for the treatment of diseases and ailments of human beings. The current study aims to endow up-to date standardized data of Saaranai ver chooranam (SVC) indicated for Gunmam with distinct observations such as physicochemical, phytochemical, biochemical, HPTLC, analysis of heavy metal, microbial load, specific pathogen, pesticide residue, aflatoxin parameters were evaluated as per PLIM guidelines, gathered and orchestrated in a prompt manner on this paper, to explore and inspire further ethno-botanical and ethno-pharmacological research and investigations towards drug discovery.
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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 | 0.001 |
| 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".