Measurement and Prediction of Solubility of Paracetamol in Water−Isopropanol Solution. Part 2. Prediction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The solubility of paracetamol in water−isopropanol mixtures at 30 °C using the regular - solution theory, the UNIFAC model, and the UNIQUAC model is predicted and compared with the corresponding experimental values reported in part A of this study. The results of the ideal solubility show that Δ c p should be integrated with respect to differential molar heat capacity changes with temperature, if sub-cooled liquid heat capacity is approximated by liquid heat capacity. The modified regular-solution theory underestimates the solubility, whereas the UNIFAC model overestimates it. The UNIQUAC model results in the best predictions. However, various vapor−liquid equilibrium data sets to calculate the UNIQUAC solvent−solvent adjustable parameters result in different accuracies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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