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Record W4312165876 · doi:10.6000/1929-5634.2022.11.01

Pharmacological Properties of Banana Stem: An Updated Review

2022· article· en· W4312165876 on OpenAlexvenueno aff
Samrudhi S. Kendole, K.M. Lakshmi Priya, M. Rajadurai, T.V. Eshanya

Bibliographic record

VenueJournal of Nutritional Therapeutics · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBanana Cultivation and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMusaceaePerennial plantInflorescenceBiologyTraditional medicineBiotechnologyMedicineBotany

Abstract

fetched live from OpenAlex

Musaceae is a perennial tree-like plant that is cultivated all over the world in various tropical and subtropical regions. The fruit, peel, leaves, pseudo-stem, stalk, and inflorescence (flower) of this plant, among other parts, are utilized in traditional medicine to treat several health problems. The banana stem juice has potential biological effects, including anti-diabetic, anti-inflammatory, anti-microbial, anti-helminthic, wound-healing, anti-cancer, anti-oxidant, and anti-urolithic activities. Consequently, it can be said that banana stem juice contains adequate levels of healthy secondary metabolites that are essential for maintaining good health. To find novel approaches for treating and preventing a wide range of medical diseases, more studies into the medicinal potential of banana stem juice can be done. Hence, this review emphasizes Musaceae stem juice's medicinal and nutritional benefits as review.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0030.000

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 head0.193
GPT teacher head0.335
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 teacher head, not a consensus.

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

Citations3
Published2022
Admission routes1
Has abstractyes

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