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Record W4402617954 · doi:10.5376/mpr.2024.14.0015

Ginger Tea: A Review of Its Anti-inflammatory Properties, Gastrointestinal Benefits, and Traditional Uses

2024· review· en· W4402617954 on OpenAlexvenueno aff
Baofu Huang

Bibliographic record

VenueMedicinal Plant Research · 2024
Typereview
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicGinger and Zingiberaceae research
Canadian institutionsnot available
Fundersnot available
KeywordsTraditional medicineMedicine

Abstract

fetched live from OpenAlex

Ginger tea, as an herbal beverage with a long history, has been traditionally used in various cultures around the world.In recent years, as interest in the therapeutic effects of natural herbs has grown, ginger tea has attracted researchers' attention due to its potential health benefits, such as anti-inflammatory properties and promoting digestion.Particularly in modern medicine, ginger tea has been widely studied for its use in alleviating nausea, vomiting, and improving gastrointestinal health.This study comprehensively evaluates the anti-inflammatory mechanisms of ginger tea and its potential clinical applications, while also exploring its specific effects on gastrointestinal health, including relieving nausea and improving digestion.Furthermore, the study analyzes the traditional uses of ginger tea in different cultures and its potential applications in modern health products, filling the gap in the existing literature regarding systematic research on ginger tea.This study provides scientific support for the future development of natural health products based on ginger tea and broadens new perspectives for its applications in modern medicine.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.621
GPT teacher head0.539
Teacher spread0.082 · 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 designNot applicable
Domainnot available
GenreReview

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 abstractno

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