Complementary, Holistic, and Integrative Medicine: Table.
Bibliographic record
Abstract
1. Larissa Shamseer, BSc* 2. Theresa L. Charrois, BScPharm, MSc* 3. Sunita Vohra, MD, MSc* 1. *Complementary and Alternative Research and Education (CARE) Program, Department of Pediatrics, University of Alberta, Canada, on behalf of the American Academy of Pediatrics Provisional Section on Complementary, Holistic, and Integrative Medicine Allium sativum , commonly known as garlic, is a perennial plant native to central Asia that now is farmed worldwide. It is a member of the Liliaceae family and also is called Russian penicillin and allium . Intact, the plant is odorless; its pungency arises when garlic is crushed, yielding the sulfur-containing, pharmacologically active component allicin. Garlic was one of the earliest cultivated plants and has been used in many cultures for its culinary and medicinal purposes. It has been used widely as a folk remedy to ward off the common cold and flu. In the first century, Ayurvedic medicine claimed a role for garlic in the prevention and treatment of heart disease (1) that has been studied by medical research since the 1920s with intriguing and often mixed results. (2)(3) In traditional Chinese medicine, garlic has been used as an antimicrobial and for fever prevention. Despite use in many cultures for its purported pharmacologic effects, there is a gap in the literature surrounding the pediatric use of garlic. The cardiovascular effects of garlic are purported to include the lowering of lipids and blood pressure and the reduction of platelet aggregation in adults. (4)(5)(6) McCrindle and associates (7) examined the effects of a commercial garlic extract on lipids in children (8 to 18 y of age) who had first-degree relatives afflicted with familial hypercholesterolemia or premature atherosclerotic cardiovascular disease and a minimum fasting total cholesterol concentration higher than 185 mg/dL (4.8 mmol/L) in a double-blind, randomized, controlled trial (RCT). The extract was administered in 300-mg doses (containing 0.6 …
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".