Bibliographic record
Abstract
To establish HPLC method for simultaneously determination of the active ingredients in Zaoren-anshen granule( spinosa,salvianic acid A sodium,schisandrin) in rats. Acetonitrile precipitation preparation of plasma samples,C18 reversed-phase chromatography gradient elution method and separation pinosa,salvianic acid a sodium,schisandrin,internal standard curve method were used to calculate three kinds of effective component content. Three indicators composition was maintained at the linear ranges( 10 ~ 300μg / mL for spinosin,1. 25 ~ 62. 5 μg / mL for salvianic acid A sodium,5. 0 ~ 250 μg / mlμg / mL for schisandrin). Three effective constituents measured in daytime and over days showed that the of relative standard deviation was less than 15%. The recovery rates of the samples with low,medium and high concentration were higher than 85%. Normal rats after oral administration Zaoren-an-shen granule,their spinosin conformed to the one-compertment model,both of salvianic acid A and schisandrin conformed to the two-compertment open model. This method can simultaneously determine spinosa,salvianic acid A sodium and schisandrin in plasma samples,can be ex-pected to become a method to research the pharmacokinetic of Zaoren-an-shen granule.
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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".