Determination of experimental solute descriptor values for safrole by liquid-liquid partitioning and gas chromatography
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Bibliographic record
Abstract
Abraham’s solvation parameter model was employed as a Quantitative-Structure Property Relationship in the present study to define safrole descriptor values. Safrole has applications in a wide range of fields, including pharmaceuticals and fragrances, as a flavouring ingredient, a fragrant agent, and a raw material. Safrole, on the other hand, can behave as a toxic organic substance. Safrole descriptor values were calculated using gas-liquid chromatographic retention factors in combination with liquid-liquid partition coefficients. Experimentally determined descriptor values for safrole using gas chromatography and liquid-liquid partition systems are E = 1.108, S = 1.123, A = 0.000, L = 5.340, B = 0.174, and V = 1.246. Proposed descriptor values will be useful in determining and estimating physicochemical properties of Safrole.
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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 it