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Record W2910303585 · doi:10.18316/sdh.v6i3.4847

Perfil Motor de Lactentes Nascidos no Município de Coari/AM

2018· article· pt· W2910303585 on OpenAlexaboutno aff
Ayrles Silva Gonçalves Barbosa Mendonça, Eric Brasil Gonçalves, Michelle Alexandrina dos Santos Furtado, Christian Caldeira Santos

Bibliographic record

VenueSaúde e Desenvolvimento Humano · 2018
Typearticle
Languagept
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Introdução: No primeiro ano de vida infantil, as etapas do desenvolvimento motor (DM) progridem de movimentos simples e desorganizados para movimentos mais complexos e voluntários, estando as crianças suscetíveis aos riscos biológicos e ambientais, o que pode alterar o DM infantil. Objetivo: Avaliar o DM de lactentes cadastrados em uma Unidade Básica de Saúde (UBS) de Coari, Amazonas, e apresentar os possíveis fatores de risco para o DM atípico. Método: Estudo descritivo observacional transversal, com amostragem intencional e não probabilística, em que lactentes cadastrados em uma UBS foram avaliados utilizando questionários de variáveis clínicas, socioeconômicas, ambientais e aplicação da Escala Motora Infantil de Alberta (AIMS). Resultados: Foram avaliados 42 lactentes, dos quais 92,9% apresentaram desempenho motor normal. A baixa renda familiar e reduzida escolaridade dos pais foram achados predominantes, porém sem interferências no DM. As doenças pregressas mais frequentes foram: pneumonia, infecção urinária, diarreia, malária, catapora, infecção intestinal e coqueluche. Nenhuma criança frequentava creches no período da avaliação. Conclusão: A maioria dos lactentes, pertencentes da UBS, do bairro Pêra, em Coari/AM, possuíram o DM adequado, segundo avaliação da AIMS, mesmo eles apresentando alguns fatores de risco para o DM, como prematuridade e baixos níveis de renda e escolaridade dos seus pais.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.004

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 head0.021
GPT teacher head0.281
Teacher spread0.260 · 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
Published2018
Admission routes1
Has abstractyes

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