Essential oil compounds of <i>Origanum dayi</i> Post
Bibliographic record
Abstract
Abstract The essential oils of five selected clones of Origanum dayi Post were obtained using two techniques, hydrodistillation and tert‐butyl methyl ether extraction. Hydrodistillation of the whole plant yielded essential oil amounting to 2.4–2.8% of the fresh weight. A total of 50 volatile constituents of the oil were identified, of which the major ones were 1,8‐cineole, α‐terpineol, (E)‐sabinene hydrate, (E)‐sabinene hydrate acetate, terpinen‐4‐ol and linalyl acetate. The composition of the volatiles obtained by hydrodistillation and by extraction differed mainly in the higher contents of terpinen‐4‐ol (5.7–14.5%) and α‐terpineol (18.3–25.8%) in the distilled oil than in the extract (1.9–4.0% and 10.5–16.8%, respectively), but the former had less (E)‐sabinene hydrate acetate (traces–0.2%) than the latter (6.3–13.8%). Extraction of young and old leaves, young and old stems, bracts, calices and corollas revealed differences among the various plant parts in their volatile contents and compositions. Copyright © 2003 John Wiley & Sons, Ltd.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".