MétaCan
Menu
Back to cohort
Record W2148676228 · doi:10.5539/jfr.v2n4p55

Potential Role of Labisia pumila in the Prevention and Treatment of Chronic Diseases

2013· article· en· W2148676228 on OpenAlexvenueno aff
Nik Hazlina Nik Hussain, Azidah Abdul Kadir

Bibliographic record

VenueJournal of Food Research · 2013
Typearticle
Languageen
FieldMedicine
TopicPhytoestrogen effects and research
Canadian institutionsnot available
Fundersnot available
KeywordsTraditional medicineMedicinePhytochemicalHealth benefits

Abstract

fetched live from OpenAlex

Labisia pumila (Myrsinaceae), also called Kacip Fatimah, is a herbal medicine that has been widely used in South East Asian communities mainly for women’s health. The extensive use of this plant has led to many speculations and studies on its phytoestrogenic properties. This review highlights the studies that involved Labisia pumila, which include phytochemical profiling and its safety. In addition, we also look into its use as an alternative to hormonal therapy in postmenopausal women, and its role in cardiovascular protection and osteoporosis. Further studies are needed to highlight the potential benefits of this plant in promoting advantageous health properties.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.034
GPT teacher head0.380
Teacher spread0.346 · 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 designObservational
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

Citations15
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Food ResearchSame topicPhytoestrogen effects and researchFrench-language works237,207