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Record W1855248852 · doi:10.3968/3732

Health Benefits, Chemistry and Mechanism of Carica Papaya a Crowning Glory

2013· article· en· W1855248852 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAdvances in natural science/Advances in natural sciences · 2013
Typearticle
Languageen
FieldMedicine
TopicPapaya Research and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsCaricaFood sciencePillChemistryHorticultureToxicologyBiologyPharmacology

Abstract

fetched live from OpenAlex

Abstract Mini review article highlights about the health benefits, chemistry and mechanism of papaya. Fruit and vegetables cannot be equated to that promised by nutritional pills and supplements. Nutrition experts advocate generous intake of fruits for optimum health as these food items are loaded with all the benefits. Especially papaya fruits is goldmine of vitamins C, E, K, minerals and fiber and ideal to consume at least 4-5 servings in a day. Since they are in natural form, account for largest part of water and 100% bad cholesterol free, it’s much easier for the body to process and absorb the vitamins and minerals from the fresh fruit. The chemical action of acyltransferase is studied which is extracted from ripened papaya fruit and then benzyl alcohol is acylated to give benzylacetate.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.830
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.004
Science and technology studies0.0000.003
Scholarly communication0.0000.004
Open science0.0010.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.346
Teacher spread0.336 · 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