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Record W3200303818 · doi:10.47339/ephj.2021.178

Investigation of the awareness and effects of naturally changing compositional aspects in kombucha tea, due to natural fermentation processes

2021· article· en· W3200303818 on OpenAlexvenueno aff
Carlson Chao, Dale Chen, Environmental Health BCIT School of Health Sciences

Bibliographic record

VenueBCIT Environmental Public Health Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicTea Polyphenols and Effects
Canadian institutionsnot available
Fundersnot available
KeywordsPopularityFermentationFood scienceBusinessAlcoholProduction (economics)Alcohol contentDistribution (mathematics)AdvertisingChemistryPsychologyMathematicsEconomicsBiochemistry

Abstract

fetched live from OpenAlex

With the growing popularity of Kombucha, more people are beginning to either purchase or make their own Kombucha beverage. Due to the relatively recent rise in popularity, within the general public, not as much is known about the beverage compared to other beverages that have been on the market longer such as beer. This is important and relevant to public health because, due to the nature of the production method used to create Kombucha, the drink itself may contain alcohol. While at the time of production and distribution, the levels of alcohol are below the regulated maximum of 1%, these levels may increase on their own if measures were not put in place to stop the beverage from self-fermenting post-distribution. Kombucha is sold as a non-alcoholic beverage as they aren’t required to be defined as liquor (because it is <1% ethanol), when in reality, they may contain more than 1% ethanol due to the self-fermentation process. This poses as a potential health risks to people who do not consume alcohol for personal reasons or to adolescents who should not be consuming alcohol.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.602
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.016
GPT teacher head0.262
Teacher spread0.246 · 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 teacher head, 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

Citations0
Published2021
Admission routes1
Has abstractyes

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