Chemical Composition\nand Antiplasmodial Activity of\nthe Essential Oil of <i>Rhododendron subarcticum</i> Leaves\nfrom Nunavik, Quebec, Canada
Bibliographic record
Abstract
Dwarf Labrador tea, Rhododendron subarcticum Harmaja, is a popular medicinal\nplant in use by First Nations of\nNorthern Canada, but its phytochemistry has remained largely unexplored.\nWe have isolated and characterized the essential oil from a population\nof this species harvested near the treeline in Nunavik, Québec.\nAnalyses by gas chromatography–mass spectrometry (GC–MS)\nand gas chromatography/flame-ionization detection (GC/FID) led to\nthe identification of 53 compounds; the main secondary metabolites\nwere ascaridole (64.7% of the total FID area) and p-cymene (21.1%). Such a composition resembles a chemotype observed\nfor R. tomentosum, a close relative\nfound mainly in Europe and Asia, but has never been attributed to R. subarcticum. Growth inhibition assays against\ndifferent strains of Plasmodium falciparum (3D7, Dd2), the parasite responsible for the most severe form of\nmalaria, were conducted with either the R. subarcticum’s essential oil or the isolated ascaridole. Our results show\nthat the essential oil’s biological activity can be attributed\nto ascaridole as its IC50 is more than twice that of ascaridole\n[ascaridole’s IC50 values are 147.3 nM (3D7) and\n104.9 nM (Dd2)].
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 | 0.000 | 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 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".