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Record W4410869900 · doi:10.1016/j.cdnut.2025.106055

Bioconverted Red Ginseng Modulates Bile Acid Homeostasis and Gut Microbiome Composition in Aged Mice

2025· article· en· W4410869900 on OpenAlexaff
Da‐Yeon Lee, Jing Liu, Gopal Lamichhane, Guolong Zhang, Josephine M. Egan, Tae Young Kim, Yoo Kim

Bibliographic record

VenueCurrent Developments in Nutrition · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGinseng Biological Effects and Applications
Canadian institutionsInstitute of Aging
FundersOklahoma State University
KeywordsGinsengBile acidMicrobiomeGut microbiomeHomeostasisGut floraBiologyBiochemistryMedicineEndocrinologyBioinformaticsPathology

Abstract

fetched live from OpenAlex

Objectives: Aging is associated with a progressive decline in metabolic functions, including disruptions in bile acid (BA) homeostasis and alterations in the gut microbial ecosystem. Red ginseng, processed from raw ginseng (Panax ginseng) via a single-step steaming and drying process, is a traditional herbal medicine known for its anti-aging properties. Notably, bioconverted red ginseng (BRG), produced through enzymatic treatment of red ginseng, generates rare bioactive compounds that may enhance its pharmacological benefits.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.273
Teacher spread0.262 · 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 designBench or experimental
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
Published2025
Admission routes1
Has abstractyes

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