A Novel Approaches to Feverfew (<i>Tanacetum Prthenium</i>): A Review
Bibliographic record
Abstract
Tanacetum Parthenium is a herbal medicinal plant which is known as feverfew. Asterace is the family of feverfew. It is traditionally applicable in the treatment of stomach aches, fever, arthritis, infertility, migraine, insect bites, menstruation problems, and labour pain during childbirth. Dioscorides was the first Greek physician to which uses feverfew extract for treatment of inflammation. Particularly among Greek and early European herbalists, feverfew plant has ancient historyfor traditionally used as common medicine. This plant is also known as "featherfew" due to its feathery leaves. The leaves have been used in medicinal preparation in past two decades for treatment of arthritis and migraine by both the British and Canadian government. The herbal plant of feverfew cultivated in large area of world that show medicinal importance. Plant grow substantially and show important strongly report in support of therapeutic uses. This aromatic plant look like yellow green leave and give bitter odour and give therapeutic active chemical constituents include pinenes flavonoid and glycoside. It shows various pharmacological properties, like antispasmodic, cardiotonic, anti-inflammatory, anti-cancer, and as an enema for worms. The colour of feverfew plant is yellow and bloom in October to July, which is also used in asthma, dizziness, nausea and vomiting. Parthenolide may experience an acid-induced cyclisation in the presence of excessive moisture, resulting in a sesquiterpene lactone of the guaianolide class, which is frequently present in feverfew. If the composition satisfies pharmacopoeial microbiological quality standards, microbial degradations are unlikely to have a significant impact.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".