Optimization of Extraction Conditions of Total Flavones from Plantagomajor L. with Response Surface Method
Bibliographic record
Abstract
The conditions for ultrasonic-wave-assisted extraction of total flavones in Plantagamajor L.were optimized by applying the response surface method.Single factor testing was performed to select the appropriate factors and levels for extraction experiments,and then based on the experimental designing of Box-Behnken Central composite,the extraction conditions were optimized by applying the methamatical model of 3-factors and 3-levels,and the response surface analysis.The optimized extraction conditions found were as follow:① conc.of ethanol:(φ)70.67%;②extraction time:30.67min;③ratio of ethanol(mL)to sample(g)of 15∶1.Rate of extraction obtained under the optimum conditions attained to 50.65 mg·g-1,which is very close to the predicted value(50.74mg·g-1).
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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 | 0.001 | 0.001 |
| 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) | 0.007 | 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".