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Record W4401992699 · doi:10.18372/2786-8168.18.18556

EXPLORING THE ENVIRONMENTAL IMPACT AND NUTRIOTIONAL BENEFITS OF KOMBUCHA PRODUCTION FOR SPORTS AND WORK IN EXTERE CONDITIONS

2024· article· en· W4401992699 on OpenAlexaff
Н.І. Адамчук-Чала, Yelyzaveta Chala

Bibliographic record

VenueEkologìčna bezpeka deržavi. · 2024
Typearticle
Languageen
FieldMedicine
TopicTea Polyphenols and Effects
Canadian institutionsMcGill University
Fundersnot available
KeywordsWork (physics)Production (economics)BusinessEngineeringEconomicsMechanical engineering

Abstract

fetched live from OpenAlex

Abstract. This paper explores the nutritional benefits of kombucha, especially for people aged 20-40 who exercise intensely or work in extreme conditions. Underlining the rich composition of kombucha in antioxidants, organic acids, and probiotics, the paper discusses its potential to improve athletic performance, promote early recovery, and improve overall health. The research results show the perspectives of introducing kombucha into the diet of active people not only as a healthy alternative to sugary drinks but also as a strategic choice to promote physical and mental well-being in a challenging environment. The paper calls for further clinical trials to fill the existing knowledge gaps and ensure the safe and effective use of kombucha as a dietary supplement.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score0.332

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 head0.046
GPT teacher head0.282
Teacher spread0.236 · 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
Published2024
Admission routes1
Has abstractyes

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