Peculiarities of the Thermodynamics of Electrolyte Solutions: A Critical Discussion
Bibliographic record
Abstract
Abstract Differences in the thermodynamic treatment of electrolyte and nonelectrolyte solutions are highlighted. The relations between expressions for concentrations are stated and the need to consider the presence of ions is emphasized. Examples are presented to show that the activity coefficient of a particular ion depends on the nature of the other ions in the solution. An overview is given of the state of development — and shortcomings — of methods to measure the activity coefficient of individual ions. Pitfalls in the use of polynomials to evaluate the mean ionic activity from measurements of the activity of the solvent are emphasized and solutions proposed. The interpretation of the mean ionic activity coefficient of weak electrolytes is discussed. The relation between the excess Gibbs energy and the activity coefficients of the species in solutions is reviewed and the relation between the McMillan‐Mayer and Lewis‐Randall frameworks is commented. An abstract of the basic equations for electrolyte solution thermodynamics is appended.
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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) | 0.000 | 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 | 0.001 |
| 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".