Preparation and Chemical Analysis of Volatile Oil in Two Different leaf type of Ficus hirta Vahl.
Bibliographic record
Abstract
Abstract To analyze the chemical constituents of volatile oil in two different leaf types of Ficus hirta Vahl. Steam distillation was used to collect the different leaf types of Ficus hirta Vahl., the volatile chemical components of extracts were analyzed using GC-MS,and the relative contents of various chemical components in the volatile oils of the two medicinal materials were calculated by area normalization method. The volatile oils of the Ficus hirta Vahl of three-lobed leaf type and five-lobed leaf type contained 38 and 39 compounds, respectively. The main components are coumarins, organic acids, aldehydes, esters, alcohols, etc. In addition, there are some Hydrocarbons, phenols, ketones, and the chemical composition and relative content of volatile oils of the two have large differences.The method can quickly and easily identify the chemical constituents of the volatile oils of two different leaf Ficus hirta Vahl. , and there are significant differences in the chemical constituents in the volatile oils of the Ficus hirta Vahl. of three-lobed leaf type and five-lobed leaf type.
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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 | 0.000 | 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 | 0.000 |
| 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".