Measurement and Prediction of Solubility of Four Arylamine Molecules in Benzene, Hexane, and Methanol
Bibliographic record
Abstract
In this paper, the solubility of selected arylamine molecules in methanol, hexane, and benzene has been investigated. Solubility of mmmTTA in hexane and benzene is the highest while mTTA has the lowest solubility in benzene and hexane. The UNIFAC and the UNIQUAC binary adjustable parameters have been determined. On the basis of these parameters, the solubility of these molecules has been predicted and compared with the experimental data. The effect of meta or para substitutions in arylamine molecules on their solubility in organic solvents was experimentally determined and theoretically established. The adjustable parameters of the UNIFAC equation obtained in this study will help estimate the solubility of macromolecules with the same constitutional groups or estimate the solubility of mixture of arylamine molecules. Thermal properties such as specific heat, melting point, boiling point, and heat of vaporization of the selected arylamine molecules have been determined.
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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".