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Desenvolvimento motor de uma criança com Síndrome de Rubinstein-Taybi submetida à intervenção fisioterapêutica

2021· article· pt· W3121381219 on OpenAlexaboutno aff
Aila Pinheiro dos Santos, Natali Costa da Silva, Luana Karina De Almeida Nascimento

Bibliographic record

VenueRevista Pesquisa em Fisioterapia · 2021
Typearticle
Languagept
FieldBiochemistry, Genetics and Molecular Biology
TopicCongenital limb and hand anomalies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHumanities

Abstract

fetched live from OpenAlex

OBJETIVO: Analisar o comportamento motor de uma criança com Síndrome de Rubinstein-Taybi sob estimulação fisioterapêutica. MÉTODO: Trata-se de um estudo de caso realizado com uma criança diagnosticada com SRT avaliada antes, durante e após sessões de fisioterapia através da Alberta Infant Motor Scale. O tratamento foi realizado no Centro de Integração Raio de Sol, em Aracaju/SE, onde as condutas foram aplicadas três vezes na semana, com duração de 50 minutos, e consistiram no treino das posturas neuroevolutivas. RESULTADOS: Verificou-se aumento nos escores de todas as posturas a partir da segunda avaliação, o que demonstra melhora no desenvolvimento motor. CONCLUSÃO: A intervenção fisioterapêutica pode trazer benefícios no tratamento do atraso característico da SRT, ratificando a importância de novos estudos que investiguem o desempenho motor e o efeito da estimulação precoce em crianças com essa síndrome.

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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.264
Teacher spread0.251 · 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 designCase report
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

Citations0
Published2021
Admission routes1
Has abstractyes

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