<i>Acanthopanax senticosus</i>: Photochemistry and Anticancer Potential
Bibliographic record
Abstract
Acanthopanax senticosus (previously classified as Eleutherococcus senticosus), commonly known as Ciwujia or Siberian Ginseng, is a traditional Chinese medicine (TCM), widely used for its high medicinal value, such as antifatigue, anti-inflammation, antistress, anti-ulcer and cardiovascular functions, in China, Korea, Japan and Russia. In the past decades, researchers worldwide have conducted systematic investigations on this herb, from chemistry to pharmacology, and a large number of chemical components have been characterized for their significant pharmacological effects. However, reports about the anticancer effects of this plant had been rare until recently, when considerable pharmacological experiments both in vitro and in vivo were conducted to study the anticancer effects of this herb. A. senticosus has been found to have inhibitory effects on malignant tumors, such as those in the lung and liver, suggesting that A. senticosus has potential to be developed as an effective anticancer drug. This paper reviews recent findings on the pharmacological properties of A. senticosus, with a focus on its anticancer effects.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".