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Record W4396702007 · doi:10.1002/fft2.411

Preliminary exploration of acceptance and emotional responses to the key floral volatile compounds of Pu'er crude tea

2024· article· en· W4396702007 on OpenAlexaff
Huimin An, Xingchang Ou, Jinhua Chen, Juan Li, Li Shi, Yang Liu, Hongjian Jiang, Chongxing Li, Linjiang Fang, Zhonghua Liu, Jianan Huang

Bibliographic record

VenueFood Frontiers · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSensory Analysis and Statistical Methods
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsKey (lock)PsychologyChemistryComputer scienceComputer security

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.061
GPT teacher head0.289
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2024
Admission routes1
Has abstractyes

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