Analysis of Chemical Constituents in Ficus Hirta Vahl. by LCMS-IT-TOF and GC-MS
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Objective: Analysis the chemical constituents from the roots of Ficus hirta . Methods: The Ficus hirta Vahl. were extracted with 75% ethanol. Qualitative analysis of ethanol extracts was carried out by using high performance liquid chromatography-tandem mass spectrometry (LCMS-IT-TOF) and gas chromatography-mass spectrometry (GC-MS). Result: Twenty compounds were identified by LCMS-IT-TOF. Nine compounds were identified by GC-MS. Psoralens and bergapten were identified by LCMS-IT-TOF and GC-MS. Conclusion: LC-MS-TOF and GC-MS have identified 27 compounds, including 9 flavonoids, 6 coumarins, 3 organic acids, 3 organic alcohols, 2 organic esters, 1 terpene, 1 polyphenol, 1 alkaloid and 1 anthraquinone, which laid a foundation for further study of F icus hirta Vahl. and its compound preparations.
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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 | 0.001 |
| 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 it