Measurement and Prediction of Solubility of Paracetamol in Water−Isopropanol Solution. Part 1. Measurement and Data Analysis
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
An attempt has been made to measure the concentration of paracetamol (98%, Aldrich Chemical Co. Inc., MO) in different solutions using an in situ ATR-FTIR device and chemometrics. A partial least-squares (PLS1) algorithm has been applied to construct two calibration models for paracetamol concentration, water mass percent, and temperature. The models and errors have been analyzed using validation data sets and diagnostic tools. The models are then used to evaluate the solubility of paracetamol (PA) in pure isopropanol, pure water, and isopropanol−water mixtures in the temperature range 5−40 °C. The solubility of paracetamol in isopropanol−water mixtures shows a maximum at almost 20 water mass percent. For some selected data points, the measured solubility by the FTIR is in good agreement with the corresponding solubility measured using the gravimetric method. Also the solubility in pure isopropanol and water is in reasonable agreement with the data reported in the literature.
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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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