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Nutrição, cognição e emoção: bases e instrumentos neuropsicológicos para nutricionistas

2020· article· pt· W3090960220 on OpenAlexaff
Helena Beatriz Rower, Denise Ren da Fontoura

Bibliographic record

VenueSaúde Coletiva (Barueri) · 2020
Typearticle
Languagept
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsCognitionPsychologyMedicineGerontologyPsychiatry

Abstract

fetched live from OpenAlex

Há diversos de estudos sobre a relação entre nutrição e cognição ou nutrição e emoção. Porém a ciência da nutrição transcende o nutrir e o comer. Envolve fatores interligados que precisam ser verificados e utilizados para melhor compreensão do indiví­duo e das populações atendidas pelo nutricionista e da proposição de modos de resolução e/ou melhora destas demandas. Para tanto, existem instrumentos que incrementam a avaliação alimentar e nutricional e proporcionam melhor compreensão da formação do hábito alimentar. Este ensaio teórico sobre instrumentos neuropsicológicos utilizados para avaliação de adultos e idosos contribui para a avaliação nutricional, especificando as funções cognitivas e suas relações com os fatores nutricionais e emocionais do indiví­duo. Realizou-se levantamento dos instrumentos de avaliação neuropsicológica ou que possuam construtos cognitivos e emocionais. Verificou-se a avaliação cognitiva e a relação da emoção com a comida. Pensa-se que este seja um guia básico para o nutricionista incrementar sua avaliação para além da tradicional.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.004

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 head0.064
GPT teacher head0.294
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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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