Identification of the Flavone in the Flower Bud of Panax Quinquefolium and Its Content Determination in the Different Parts
Bibliographic record
Abstract
Introduction Panax quinquefolium L. Belongs to the Panax genus of the Araliaceae. It originates in America and Canada. Its roots, a famous and expensive traditional Chinese medicinal material, have been studied continually since its successful cultivation in China in the 1970s. In recent years the development and utilization researches of its aerial part, which was abandoned in the past, have been conducted. The constituent studies on the leaves, stems and fruits have been reported. But no information about the flower buds has been found in literatures. The authors have reported a study about the chemical constituents of the flower buds of the P. Quinquefolium cultivated in China. In the present work two flavonoids(namely kaempferol and panasenoside) in the flower buds of the P. Quinquefulium cultivated in China were extracted, isolated, and identified. Since the medicinal materials were processed with an unusual treatment, the content determination of the monomeric and total flavonoid in the different parts were performed correctly with the methods of dual-wavelength TLC-scan, and UV-absorption, and it was discovered that there were flavonoids in the roots and fruits of the P. Quinquefolium. The scientific basis was provided for the utilization of the flower buds and other parts resources of the P.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".