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Record W4376508557 · doi:10.56588/iabcd.v2i1.130

REVIEW ON TRADITIONAL AND ADVANCE USE OF MORINGA OLEIFERA AS FOOD AND MEDICINE

2023· article· en· W4376508557 on OpenAlexaff
Jatin Chachapara, Kruti Chaudhari, Himanshu Pandya, Bharat Maitreya

Bibliographic record

VenueInternational Association of Biologicals and Computational Digest · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMoringa oleifera research and applications
Canadian institutionsImpact
Fundersnot available
KeywordsMoringaRecipeTraditional medicineFood scienceBark (sound)Product (mathematics)MedicineBiologyMathematics

Abstract

fetched live from OpenAlex

The review aimed to highlight the Moringa oleifera plants uses traditional to advance uses of Moringa and how to improve nutritional value in daily edible product. Moringa dried leaves use different recipe and value added food using Moringa leaf. M. oleifera is used to treat a variety of conditions, including diabetes, hypertension, stress, skin, cancer, and many others. They can be consumed fresh or dried. Moringa all part is edible like leaves, fruits, root and bark. From leaves of M. oleifera the product are prepare like chocolate, paneer, biscuit, cake, yogurt, khakhara, chin-chin, muffins. The study shown some interesting information provides a breakdown of the findings regarding the usage of the Moringa species in Nigeria by ethnicity as well as the applications of Moringa oleifera in different food recipe improves their nutritional and functional value.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.709
Threshold uncertainty score0.151

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.088
GPT teacher head0.316
Teacher spread0.228 · 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.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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