Anticancer Activity of Five Traditionally Used Medicinal Plants' Extracts
Bibliographic record
Abstract
Natural products play a critical role in cancer prevention and therapy today. There are numbers of anticancer agents from natural products used in the clinic.Fighting cancers with novel natural products, especially those extracted from plants, is a potential strategy to develop new anticancer drugs..In the following study, various extracts of well known medicinal plants named Holoptelea integrifolia (F), Operculina turpethum (R), Cardiospermem halicacabum L (S), Dilonix regia (F), Sesbania grandifora seed have been studied for evaluating their anticancer activity. Our data showed that the cytotoxic activity of Operculina turpethum (R) ethanolic extractwas relative high for all 6 cancer cell lines as compared to other extracts. The active compound and anticancer mechanism of these extracts are worth investigating in the future.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".