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Frequência semanal de um programa de intervenção motora para bebês de berçário

2016· article· pt· W2517131987 on OpenAlexaboutno aff
Laí­s Rodrigues Gerzson, Bruna Maciel Catarino, Kelly Andara de Azevedo, Paula Ribeiro Demarco, Mí­riam Stock Palma, Carla Skilhan de Almeida

Bibliographic record

VenueFisioterapia e Pesquisa · 2016
Typearticle
Languagept
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesMedicinePhysicsArt

Abstract

fetched live from OpenAlex

RESUMO O objetivo do estudo foi comparar o efeito de um Programa de Intervenção Motora no desenvolvimento de bebês de escolas de educação infantil públicas de Porto Alegre. Participaram do estudo 59 bebês, estratificados aleatoriamente em três grupos: 18 bebês atendidos três vezes por semana (G3X); 23 bebês atendidos uma vez por semana (G1X) e 18 bebês do grupo controle (GC). Foram realizadas tarefas de perseguição visual (três minutos), manipulação de objetos (sete minutos) e força, mobilidade e estabilização (dez minutos). O instrumento utilizado foi a Alberta Infant Motor Scale (AIMS) para avaliar o desenvolvimento motor dos bebês. Os resultados do estudo mostraram que os bebês do G1X foram os que melhoraram na classificação (p=0,007); nas posturas, foram os bebês do G3X que obtiveram diferença significativa maior na postura prono, sentado e em pé, mesmo sendo mais novos. Em conclusão, os bebês que realizaram intervenção motora, uma ou três vezes por semana, obtiveram melhores resultados quando comparados ao grupo controle.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.294
Teacher spread0.272 · 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 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".

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Citations11
Published2016
Admission routes1
Has abstractyes

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