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AVALIAÇÃO FUNCIONAL DE IDOSAS COM OSTEOARTRITE DE JOELHO SUBMETIDAS A TRATAMENTO FISIOTERAPÊUTICO

2011· article· pt· W1581666602 on OpenAlexaboutno aff
Cláudio Henrique Meira Mascarenhas, Shirley Lima Campos, Leonardo Malta Azevedo, Noedilson Menezes dos Reis

Bibliographic record

VenueRevista Baiana Saúde Pública · 2011
Typearticle
Languagept
FieldComputer Science
TopicHealthcare during COVID-19 Pandemic
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Este estudo teve por objetivo avaliar a capacidade funcional de idosas com osteoartrite de joelho submetidas a tratamento fisioterapêutico. Trata-se de um estudo descritivo com delineamento transversal, sendo a amostra constituída por 25 indivíduos com idade igual ou superior a 60 anos, do sexo feminino e residente no município de Jequié (BA). A coleta de dados foi realizada em oito clínicas de fisioterapia do município de Jequié (BA). A intensidade da dor, da rigidez e o grau de funcionalidade foram mensurados pelo questionário Western Ontario and McMaster Universities Index (WOMAC). As correlações entre as variáveis dor e rigidez com a funcionalidade foram calculadas por meio do teste Qui-Quadrado, utilizando o software SPSS versão 15.0®. As variáveis ocupação, escolaridade e idade foram caracterizadas por um questionário sociodemográfico. Houve diferença estatística entre as variáveis dor e capacidade funcional. No entanto não houve significância entre as variáveis idade e funcionalidade, assim como entre as variáveis rigidez e funcionalidade. Nesta perspectiva, concluiu-se que a melhora da funcionalidade no grupo em estudo está diretamente relacionada à redução do quadro álgico.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.646
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.079
GPT teacher head0.312
Teacher spread0.233 · 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 teacher head, not a consensus.

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

Citations2
Published2011
Admission routes1
Has abstractyes

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