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Record W3117411205 · doi:10.4236/fns.2020.1112077

The Use of Ripe Plantain (<i>Musa spp</i>.) and Peppercorns for Beverage Processing as a Pro-Vitamin A Carotenoid and Nutrition Catalyst

2020· article· en· W3117411205 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFood and Nutrition Sciences · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSensory Analysis and Statistical Methods
Canadian institutionsMcGill University
Fundersnot available
KeywordsFood scienceCarotenoidMusaceaeVitaminFood processingBiologyChemistryBiotechnologyHorticultureBiochemistry

Abstract

fetched live from OpenAlex

Plantain (Musa spp.) constitutes an essential food crop in both tropical and subtropical areas. The staple’s nutritional value and provitamin A carotenoid potential has attracted more interest and usage. Plantain (Musa spp.) optimization into food recipes has been identified to increase patronage and minimises food wastage, due to the fruit’s (pulp) high perishability nature. In this study, local over ripe plantain (Musa spp.) was sampled and used in a beverage production. The beverage was processed from pureed ripe plantain, by three days fermentation of the pureed plantain mixture, boiling, and spicing, preservation with syrup, storage, and usage. The product’s processing was followed with a sensory evaluation of the new beverage on taste, appearance, color, flavour, and overall acceptability. Majority of the respondents indicated the new product was good and was well accepted. The research sought to create food diversity, encourage more usage of the crop and to highlight the nutritional values of plantain (Musa spp.) which is particularly high in provitamin A carotenoid to address Vitamin A deficiency in low resource setting communities.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.897
Threshold uncertainty score0.947

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.151
GPT teacher head0.315
Teacher spread0.164 · 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