Role of solvent nucleophilicity in excess-acidity plots for equilibria in sulfuric acid – water mixtures
Bibliographic record
Abstract
For protonation of a base B to give BH + and for reaction of carbocations R + with water to give ROH in a range of sulfuric acid – water mixtures, slopes of excess-acidity plots of equilibrium data are discussed. Formal connections between the excess-acidity approach and the Grunwald–Winstein (GW) and extended GW equations, noted previously by Bagno et al., are evaluated. It is proposed that a major factor is variations in the solvent dependence of the rates of reactions of the cations (BH + or R + ) with water in the sulfuric acid – water mixtures. Rates of reactions of more stable cations (e.g., Ph 3 C + ) with water are more sensitive to changes in solvent nucleophilicity, and the lower nucleophilicity of the water in sulfuric acid – water mixtures leads to an increase in [BH + ]/[B] or [R + ]/[ROH] concentration ratios (and hence to greater slopes m* in excess-acidity plots).Key words: excess acidity, sulfuric acid, kinetics, solvent nucleophilicity, solvolysis.
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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 | 0.000 |
| 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) | 0.001 | 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".