Goldenseal (<i>Hydrastis canadensis</i>): an annotated bibliography
Bibliographic record
Abstract
Goldenseal (Hydrastis Canadensis), a member of the buttercup family (Ranunculaceae), is an herbaceous perennial found in rich hardwood forests throughout the Northeastern United States and Canada. Originally used by Native Americans as both a medicine and a dye, the herb was eventually adopted by the settlers and eclectic physicians in the 19th century. The alkaloids in goldenseal have been found to have antibiotic, anti-inflammatory, antispasmodic, and tonic effects. Scientists and physicians continue to expand on the knowledge of the clinical applications and disease-fighting potential of the plant. Growing awareness of possible medicinal benefits has increased worldwide consumption, which, combined with a continual loss of habitat, has greatly reduced wild populations. Goldenseal has been listed under Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) Appendix II protection since 1997. Demand for cultivated roots has increased as wild populations become scarce, motivating research into propagation and cultivation techniques. More attention should be focused on: educating consumers about the appropriate uses of the herb in order to reduce overconsumption; working with growers to increase the profitability of cultivation and reduce pressures on wild plants; and identifying and tracking wild populations to determine the most effective management and conservation practices.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.052 | 0.021 |
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".