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Record W2139302264 · doi:10.6000/1927-5129.2014.10.20

Review on Some Malaysian Traditional Medicinal Plants with Therapeutic Properties

2014· article· en· W2139302264 on OpenAlexvenueno aff
Ali Alsarhan, Ahed J Alkhatib, Naznin Sultana, Mohammed Rafiq Abdul Kadir

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2014
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPsidium guajava Extracts and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsTraditional medicineCaricaMedicinal plantsZingiber officinaleCurcumaPsidiumBiologyBotanyMedicine

Abstract

fetched live from OpenAlex

There are many medicinal plants that have been used for thousands of years. These plants can now be found in herbal products and as part of the traditional Malaysian health care system because of their therapeutic efficacy. This paper discusses the use of ten medicinal plants in the traditional medicinal system of Malaysia and related scientific studies on their Pharmaceutical properties, which demonstrate their traditional uses. The plants viewed are Amaranthus spinosus L., Arundina graminifolia (D.Don) Hochr., Callicarpa arborea Roxb., Carica papaya L., Citrus grandis L., Coleus amboinicus Lour., Curcuma domestica Valeton., Psidium guajava L., Garcinia atroviridis Griff. ex T. Anders., and Zingiber officinale Rosc. All the plants mentioned in this paper have therapeutic properties, which explains and validates their uses in traditional 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)0.000
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: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.002

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 head0.222
GPT teacher head0.400
Teacher spread0.179 · 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

Citations49
Published2014
Admission routes1
Has abstractyes

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