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Record W6939514851 · doi:10.60692/jsay3-j9k76

Turkey Tail Mushroom (Trametes versicolor): An Edible Macrofungi with Immense Medicinal Properties

2024· article· en· W6939514851 on OpenAlexaff

Bibliographic record

VenueGreater South Information System · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicTechnology, Environment, Urban Planning
Canadian institutionsWestern University
Fundersnot available
KeywordsMushroomTrametes versicolorMedicinal fungiFolk medicineEdible mushroomChemical constituents

Abstract

fetched live from OpenAlex

Macrofungi, commonly known as mushrooms, are not only considered as functional foods for supplying essential nutritional ingredients but also a good source of physiologically beneficial medicines. Trametes versicolor, referred to as turkey tail's Mushroom or Yun Zhi in China, is an edible mushroom that has extensive historical usage in conventional and traditional Chinese medicine. This mushroom contains an abundance of physiologically bioactive compounds, most notably β-glucan polysaccharides, which are responsible for antioxidant, neuroprotection, hypolipidemic effects, immune-modulating as well as anti-cancer effects. Trametes versicolor has also been revealed to have wound healing, anti-diabetic, antimicrobial, antifibrotic, neurotrophic and anti-inflammatory effects among other therapeutic efficacies. This review paper has overviewed the recent advances in the research and study on Trametes versicolor and discussed the potential health-promoting properties of this exotic macrofungi, with the recognition of bioactive and polysaccharide constituents responsible for these medicinal agents.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.182
Teacher spread0.142 · 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
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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