Densities, refractive indices and excess properties of mixing of the <i>n</i>-octanol + 1,4-dioxane + 2-butanol ternary system at 298.15 K
Bibliographic record
Abstract
Excess molar volumes and excess refractive indices of the n-octanol + 1,4-dioxane + 2-butanol system and the three corresponding binary mixtures have been determined at 298.15 K by measuring densities and refractive indices. Different expressions exist in the literature to predict these excess properties from binary data. An estimation of excess molar volumes is also evaluated using a modified Heller equation which depends on the refractive indices of the mixtures. A comparison of the predictions of different methods with the experimental values of the physical properties has been made.Key words: excess molar volumes, densities, refractive indices, n-octanol, 1,4-dioxane, 2-butanol, ternary system.
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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 | 0.001 | 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".