CONTRIBUTION OF GLYCEROL, ETHANOL AND SUGAR TO THE PERCEPTION OF VISCOSITY AND DENSITY ELICITED BY MODEL WHITE WINES
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT The contribution of glycerol, ethanol and sugar to the perception of viscosity and density of model wine (MW) solutions was examined. In study 1, the effects of individual components on perceived viscosity (PV) and perceived density (PD) were studied using 5, 20 or 50 g/L glycerol; 3, 7 or 15% v/v ethanol and 0, 80, 150 or 250 g/L sugar concentrations. In study 2, model ice wine mixtures of 8, 10 or 12% ethanol and 150, 250 or 300 g/L sugar were assessed for PV and PD. The physical viscosity and density of the MWs were also measured in both studies. Across the range of concentrations investigated, sugar influences the perception of viscosity and density the most, ethanol has a moderate effect and the contribution of glycerol is nominal. In model ice wine solutions, PV and PD increased with sugar concentration, but were minimally affected by changes in ethanol concentration. The PV elicited by the model ice wine solutions was well described by a linear model using physical viscosity as the independent variable ( r : 0.907). This information may be useful for predicting the sensory properties of the ice wine for quality control purposes.
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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) | 0.000 | 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 it