THE MEDICINAL PLANT SELAGINELLA BRYOPTERIS (SANJEEVANI BOOTI) IS USED IN PHYTOCHEMICAL SCREENING.
Bibliographic record
Abstract
Selaginella bryopteris is a medicinal plant known for its rich content of secondary metabolites, including alkaloids, phenols, tannins, flavonoids, and terpenoids. These compounds contribute to its diverse pharmacological properties, enabling it to function as an antioxidant, anti-inflammatory, anticancer, antimicrobial, antifungal, antibacterial, and antiallergic agent. Additionally, Selaginella bryopteris is used as a tonic to enhance overall fitness and extend lifespan. The phytochemical analysis of Selaginella bryopteris provides essential insights into the significant chemical constituents of the plant. The study detected the presence of alkaloids, saponins, tannins, phenols, and steroids in the plant samples, underscoring its potential therapeutic applications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".