Hydrastis canadensis (Goldenseal) and Lawsonia inermis (Henna)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it