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Estudio comparativo de tres bebidas formuladas con jícama (Smallanthus sonchifolius)

2020· article· es· W3046097868 on OpenAlexvenueno aff
Darío Javier Baño Ayala, Jenny Lucrecia Velasco Gómez, Sandra Lopez, Luis Fernando Arboleda Álvarez

Bibliographic record

VenueConcienciaDigital · 2020
Typearticle
Languagees
FieldNursing
TopicMicrobial Metabolites in Food Biotechnology
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryBrixFood scienceSugar

Abstract

fetched live from OpenAlex

Se formularon tres bebidas combinando jícama con piña, babaco y maracuyá con el objeto de proporcionar un valor agregado al uso tradicional de la jícama y posteriormente evaluar la calidad nutritiva de las mismas, para esto se realizaron los análisis físico químicos y microbiológicos determinándose pH, °Brix, acidez titulable, proteína, azucares totales, coliformes totales, aerobios mesófilos. Se utilizó un DCA y se aplicó la prueba estadística de Tukey con un niel de significancia p≤0,05 , encontrándose que las propiedades nutricionales del jugo de jícama con maracuyá presentaron mejores resultados por su valor nutritivo 11,50 °Brix, 3,82 pH, 13,19% acidez total, 0,54 % de proteína, 0,78 % cenizas y 38,62 % azucares totales Las tres formulaciones presentaron bajas cargas microbiológicas para mesófilos y coliformes que no superan los límites máximos permitidos por las normas INEN NTE 2337 para Jugos, pulpas, concentrados, néctares, bebidas de frutas y vegetales.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.278
Teacher spread0.247 · 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 designBench or experimental
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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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