Plants of the Genus <i>Lavandula</i> : From Farm to Pharmacy
Bibliographic record
Abstract
The Lavandula genus, belonging to the Lamiaceae, includes 39 species, with nearly 400 registered cultivars. Lavandula are worldwide plants that occur over the Mediterranean, Europe, North Africa, southwest Asia to southeast India. Lavandula plants have been used since ancient time to flavor and preserved food, to treat diseases including wound healing, sedative, antispasmodic, microbial and viral infections. Numerous researches have described the chemical composition and the primary components of lavender oils are the monoterpenoids (linalool, linalyl acetate, 1,8-cineole, β-ocimene, terpinen-4-ol, and camphor), sesquiterpenoids (β-caryophyllene and nerolidol) and other terpenoid compounds (e.g., perillyl alcohol). The high concentrations of linalyl acetate make them attractive in perfumery, flavoring, cosmetics and soap industries. Currently, data on the antimicrobial activity of lavender plants have been scientifically confirmed. Indeed, lavender essential oils possess wide spectra of biological activities such as antispasmodic, carminative, analgesic, sedative, hypotensive, antiseptic, antimicrobial, antifungal, antidiuretic and general tonic action. In addition, clinical studies support their uses as treatment of health conditions. However, further clinical studies are necessary to define the magnitude of the efficacy, mechanisms of action, optimal doses, long-term safety, and, potential side effects of lavender plants.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.011 |
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".