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[ID 51649] A INFLUÊNCIA DAS PRÁTICAS MATERNAS NO DESENVOLVIMENTO MOTOR DE CRIANÇAS PREMATURAS

2020· article· pt· W3089490235 on OpenAlexaboutno aff
Mayra Nathu Lodi, Fernanda Trubian, Caroline Cenci Sangali, Laura C. Rodrigues, Raquel Saccani

Bibliographic record

VenueRevista Brasileira de Ciências da Saúde · 2020
Typearticle
Languagept
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHumanitiesArt

Abstract

fetched live from OpenAlex

Objetivo: Avaliar a influência das práticas maternas no desenvolvimento neuropsicomotor de crianças prematuras cadastradas no Ambulatório de Alto Risco do Centro Clínico da Universidade de Caxias do Sul. Metodologia: Participaram do estudo 74 crianças prematuras de 0 a 12 meses de idade corrigida, as quais foram avaliadas por meio da Alberta Infant Motor Scale (AIMS). Para análise dos dados foi utilizada estatística descritiva e o teste do Qui-quadrado de Pearson (p=0,05). Resultados: Os resultados do estudo mostraram que 77% das crianças eram cuidadas pela mãe, poucas frequentavam a creche e a maioria permanecia pouco tempo na postura prono. O escore e o percentil médio da amostra foi de 14,81 (DP=9,50) e 37,18 (DP=26,674), classificando 44,6% da amostra com desenvolvimento motor atípico para a idade e 55,4% com desempenho adequado. Observou-se significância estatística na associação entre a categorização de desempenho da criança com o grau de escolaridade materna (Chi2=5,273; p=0,02) e o principal cuidador (Chi2=4,442; p=0,035). Conclusão: Constatou-se que os fatores ambientais geram importante impacto nas aquisições motoras de crianças prematuras, principalmente o nível de escolaridade materna e a frequência da criança na creche.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.003

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 head0.030
GPT teacher head0.296
Teacher spread0.267 · 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 designObservational
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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