The Solubility of Hydrogen Sulfide and Carbon Dioxide in Propylene Carbonate
Bibliographic record
Abstract
The solubility of hydrogen sulfide in propylene carbonate was measured at the temperatures (248.15, 273.15, 298.15, 333.15 and 373.15) K at pressures between 0.1 MPa and 4.8 MPa. The data were correlated with the Peng–Robinson equation of state. A linear temperature dependent binary interaction parameter reproduced the experimental data to within 2.4 %. Henry’s law constants of hydrogen sulfide in propylene carbonate were determined at each temperature with a combination of the Krichevsky–Ilinskaya equation and the Peng–Robinson equation of state. The results were compared with the existing literature data for this system. The same modeling approach was used to correlate the solubility of carbon dioxide in propylene carbonate using data available in the open literature. This approach correlated all of the solubility data to within 9.4 %. The Henry’s law constants of carbon dioxide in propylene carbonate were predicted to within 6.9 %.
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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 | 0.001 | 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 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".