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Record W2588526094 · doi:10.20435/multi.v21i49.812

Qualidade nutricional de barras de chocolate adicionadas de castanhas de baru

2016· article· pt· W2588526094 on OpenAlexaff
Cristina Correa da Silva Lubas, Camila Jordão Cândido, Suene Vanessa da Silva Souza, Rita de Cássia Avellaneda Guimarães

Bibliographic record

VenueMultitemas · 2016
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicFood Chemistry and Fat Analysis
Canadian institutionsNutrasource
Fundersnot available
KeywordsBaruFood sciencePhysicsChemistryHumanitiesMathematicsGeographyPhilosophy

Abstract

fetched live from OpenAlex

Chocolate é definido como produto obtido a partir da mistura de derivados de cacau com outros ingredientes, contendo no mínimo 25 % de sólidos totais de cacau. A castanha de baru (Dipteryx alata Vog.) é amplamente encontrada do Cerrado brasileiro podendo ser apreciada na alimentação. Este trabalho teve por objetivo avaliar a qualidade do produto na questão microbiológica e composição centesimal do produto. Barras de chocolates acrescidas de castanhas de baru foram testadas em diferentes concentrações do fruto. As análises microbiológicas e composição centesimal foram realizadas. Os produtos foram analisados e considerados aptos para o consumo. O estudo da composição centesimal foi satisfatório, especialmente para carboidratos nas formulações contendo 35% de amêndoa, assim como baixo teor de lipídios e calorias nas formulações contendo 15% de amêndoa. Os resultados obtidos foram muito satisfatórios, tendo em vista que as chances de contaminação aumentam quando o alimento é produzido artesanalmente.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.488
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.253
Teacher spread0.230 · 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.

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".

Quick stats

Citations5
Published2016
Admission routes1
Has abstractyes

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