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Influência dos diferentes assentos no alinhamento postural: rede adaptada para paralisia cerebral

2020· article· pt· W3046475754 on OpenAlexaboutno aff
F.S. Machado, Cristina dos Santos Cardoso de Sá, Raquel de Paula Carvalho

Bibliographic record

VenueFisioterapia e Pesquisa · 2020
Typearticle
Languagept
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsPhysicsHumanitiesArt

Abstract

fetched live from OpenAlex

RESUMO A rede de tecido é uma opção para o sentar na região norte do Brasil. No entanto, sua estrutura flexível pode causar instabilidade postural nos indivíduos com paralisia cerebral (PC), limitando sua independência. Assim, criou-se a rede adaptada, com inserção de sistema assento/encosto, buscando posicionamento sentado com alinhamento postural adequado. O objetivo deste estudo foi verificar o alinhamento de tronco e membros inferiores (MMII) de indivíduos com PC nas condições: rede adaptada, rede sem adaptação e banco, comparando-os com indivíduos-controle, sem alterações neurológicas. Seis indivíduos com PC (GPC) e seis típicos (GC), de 8 a 14 anos, foram avaliados na postura sentada nas condições: rede adaptada, banco e rede sem suporte de assento/encosto. Por meio da análise cinemática foram avaliados ângulos de tronco, pelve e membros inferiores na postura estática por 5 segundos. Houve aplicação de parte do questionário Quebec B-Quest com os responsáveis. Resultados: houve semelhança dos ângulos de MMII, pelve e tronco nas três condições. Quebec B-Quest: maior satisfação quanto às dimensões do produto e menor quanto ao conforto e à segurança. A rede adaptada pode ser considerada opção de sentar por curtos períodos de tempo, pois promoveu adequado alinhamento postural em indivíduos com PC.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.041
GPT teacher head0.290
Teacher spread0.249 · 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".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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