Preliminary exploration of acceptance and emotional responses to the key floral volatile compounds of Pu'er crude tea
Bibliographic record
Abstract
Abstract Pu'er crude tea (PCT), the initial raw material for making Pu'er tea, is favored because of unique flavor and health effects. Emotional response is helpful to explain consumers’ choice of different flavors of tea. This study aims to clarify the key floral volatiles of PCT and their emotional impact on people. Twenty‐nine compounds were identified as the key volatiles from 237 volatiles, which formed the flowery aroma of PCT. Linalool, geraniol, nonanal, and methyl salicylate were more abundant in the PCT, they evoked the top five emotions (mild, wild, aggressive, tame, bored). Methyl salicylate contributed most to the wild emotion in the two mixed samples (B10 and B14), and it may contribute positively to the health effects of tea, such as refreshing and anti‐inflammatory. This study provided a preliminary research idea for exploring the relationship between tea aroma and human emotions and its potential role in human health.
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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 | 0.000 |
| 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) | 0.003 | 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".