Analysis of St. John's Wort in Distilled Water by UV - Visible Spectrophotometric method
Bibliographic record
Abstract
In the present study a simple, precise, sensitive, accurate, selective, sensitive and cost effective UV-visible spectrophotometric method has been developed for analysis and estimation of St. John's wort in distilled water The solution of St. John's wort was scanned over UV-Visible range (up to 630mn) for its wave length of maximum absorbance different calibration standard of St-John's wort were prepared and absorbance was records atmaxat 640nm Beer's Lambert laws is obeyed in calibration curve of concentration Vsabsorbance was plotted with concentration range 1-8 g/mL.The results of this analysis ware validated statistically and was found to be satisfactory.The developed UV-visible method was successfully applied for the estimation of St. John wort in the routine analytical work.
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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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.000 | 0.001 |
| 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".