Bibliographic record
Abstract
Organic solvent was used to extract larch polyphenols in this paper.4 factors such as temperature,ethanol concentration,the ratio of solid to liquid and ultrasonic time,respectively,were made to evaluate extraction effect of polyphenols.On the basis of single factor experiments,the L9(34) orthogonal experiment was applied in the optimization of extraction technology from larch bark and corresponding antioxidant activity of extracts was investigated.The results showed that the optimal technological conditions of larch bark polyphenols were as follows:temperature 55 ℃,ethanol concentration 50%,the ratio of solid to liquid 1:40,ultrasonic time 20 min,in this process the yield of polyphenols extraction was 115.86 mg/g.The polyphenol extraction from larch bark had better eliminating effect on DPPH·,OH· and O2-·.
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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 | 0.002 |
| 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".