Hydrastis canadensis (Goldenseal) and Lawsonia inermis (Henna)
Bibliographic record
Abstract
Hydrastis canadensis , also known as goldenseal, orange root, or yellow puccoon, is native to southeastern Canada and the eastern United States. It contains many important phytochemicals, including isoquinoline alkaloids (e.g., hydrastine, berberine, berberastine, hydrastinine, tetrahydroberberastine, canadine, and canalidine). The herb is traditionally used by Native Americans to treat skin disorders, digestive problems, liver conditions, diarrhea, and eye irritations. It is also used as an antidepressant and in cancer therapy. On the other hand, Lawsonia inermis (also known as henna or Egyptian privet), a flowering plant, has been used for thousands of years, especially in India, mainly as a cosmetic and hair dye. Henna also contains a number of important phytochemicals, including phenols, glycosides, and anthroquinones. Lawsone is the main active constituent of henna leaves. The other chemical constituents of henna are gallic acid, sugars, white resin, tannins, and xanthones. Henna is used for the treatment of renal lithiases, jaundice, wound healing, and skin inflammation. In this chapter, we have summarized the traditional, chemical, and pharmacological information of goldenseal and henna on the basis of database reports to date.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".