Immune Stimulants and Antiviral Botanicals:
Bibliographic record
Abstract
Preparations of echinacea and ginseng likely comprise the most popular and commercially successful combination of medicinal plant products in North America. Interestingly, the development of Echinacea species for medicinal purposes stems from use by indigenous American people, but research has been conducted predominantly in Germany (Bauer and Wagner 1991). On the other hand, the reputation of ginseng is firmly planted in China and has spread west in modern times, research in China, Japan, and Korea, being bolstered by European investigations of mainly extracts of the Asian species, Panax ginseng. Following its discovery outside present-day Montreal, Quebec, in 1716 (Foster 1992), the trade in North American ginseng, Panax quinquefolius, grew steadily and now constitutes a considerable market in the Orient, where roughly 90 % of Canada- and US-grown root is sold. Only one of the additionally recognized Panax species, namely Panax notoginseng (Sanchi or Tienchi ginseng), is of commercial significance, primarily in Asia, where it finds application as a hemostatic, cardiotonic, and anti-infective agent (Gao et al. 1996). The traditional use of echinacea by native Americans as a topical anti-infective and snake-bite remedy, and to assuage coughs associated with colds, was presumably the impetus for investigation of its anti-microbial potential. Anti-bacterial, anti-fungal and anti-viral activities were subsequently assessed for a variety of preparations, the identity of the particular Echinacea species being still somewhat equivocal (Bauer and Wagner
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".