Excess Enthalpy and Excess Volume for Pyridine + Methyldiethanolamine and Pyridine + Ethanolamine Mixtures
Bibliographic record
Abstract
Experimental excess enthalpy, excess volume, and density data for the binary liquid mixtures pyridine + n -methyldiethanolamine (MDEA) and pyridine + monoethanolamine (MEA) are reported at atmospheric pressure and (15, 25, and 80) °C. Experimental data are not currently available for these mixtures, and the reported values are particularly important for the ongoing development of group-contribution based thermodynamic models linked to the impact of specific molecular features on molecular interactions in mixtures and improving the parametrization of equation of state models. The experimental methods and procedures and data processing methods were validated using the heptane + toluene binary mixture, where it was possible to compare experimental and computational results obtained with literature values. Mixture liquid density, excess volume, and excess enthalpy data are also compared with values computed using the Peng–Robinson equation of state.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".