Bibliographic record
Abstract
Objective:To formulate a quality control standard for sinomenine gel. Methods:TLC and UV spectrophotometry were employed for the identification of sinomenine. The content of sinomenine in the gel was determined with RP HPLC(Reversed phase high performance liquid chromatography). The column was composed of packed ODS C 18 and a methanol pH 6.8, 0.01 mol·L 1 NaH 2PO 4(50∶50 by volume) mixture served as the mobile phase. Chloramphenicol was used as the internal standard. Results:The TLC identification was highly specific and the spots were clear and concentrated. The spots of the control and test samples appeared on the same positions. The maximum UV absorption wavelength was 263nm, and the average rate of recovery was 99.6%±1.3%. Conclusion:The method was shown to be simple and convenient, rapid and accurate and suitable for the quality control of sinomenine gel.
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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 | 0.002 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".