Effect of Temperature on the Intensity of Basic Tastes: Sweet, Salty and Sour
Bibliographic record
Abstract
Sensory panels were trained to identify specific concentrations of sucrose, sodium chloride and citric acid as an intensity level value of 6 on a 15-point scale for flavors of sweet, salty and sour, respectively. Trained panels were exposed to a single concentration of each taste singly, in combinations of 2 and all three at 3 temperatures (3°C, 23°C, 60°C) using concentrations previously identified at an intensity level of 6. Panelists determined the perceived intensity of each taste at each temperature in the single and combined treatments. Sweetness was perceived as more intense at 60°C than 23°C and 3°C when tasted alone but not when in combination with other tastes (salty and sour). Salty perceived intensity was not affected by serving temperature while sourness was perceived as more intense at 23°C compared to 3°C and 60°C. In general, perceived sweetness was less suppressed when combined with other tastes than salty and sour.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".