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Record W4285231610 · doi:10.36692/v14n3-03r

FORTALECIMENTO MUSCULAR EM IDOSOS VISANDO A REDUÇÃO DE QUEDAS

2022· article· pt· W4285231610 on OpenAlexaff
Ricardo Pablo Passos, Anderson dos Santos Carvalho, Pedro Pugliesi Abdalla, Gustavo Celestino Martins, José Ricardo Lourenço de Oliveira, Klebson da Silva Almeida, Adriano de Almeida Pereira, Alexandre Freitas de Carvalho, Anderson Martelli, Bráulio Nascimento Lima, L. Silió, Marcelo Francisco Rodrigues, Mariela de Santana Maneschy, Uebister Igor Dos Santos Guedes, Carlos Henrique Prevital Fileni, Keylla dos Santos Pádua, Aghata Cris Larrana de Farias, Suyane da Costa Oliveira, Yasmin Mendes Pinheiro, Adriana Pontes Errero, Guanis de Barros Vilela

Bibliographic record

VenueRevista CPAQV - Centro de Pesquisas Avançadas em Qualidade de Vida · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicPhysical Education and Gymnastics
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsMedicineGerontologyPhysical medicine and rehabilitationFalls in older adultsPhysical therapyPoison controlHuman factors and ergonomicsMedical emergency

Abstract

fetched live from OpenAlex

Quedas são eventos frequentes em idosos com déficit de força e massa muscular. Promovem institucionalização hospitalar, aumento do sedentarismo, sendo fator de risco para mortalidade em idosos. O objetivo foi analisar estudos que estabeleceram correlações entre programas de fortalecimento muscular e quedas, equilíbrio e desempenho de marcha em idosos. Uma revisão de literatura foi realizada em artigos científicos, livros, revistas e demais publicações científicas. As respostas foram positivas, mostrando a importância do exercício físico no cotidiano do idoso, pois melhora o desempenho físico, funcional e diminui o risco das quedas, por promoverem maior equilíbrio, melhora na mobilidade e qualidade de vida. Em conclusão, o fortalecimento muscular pode prolongar a independência física do idoso, reduzindo a chance de eventos agudos prejudiciais a sua saúde.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.031
GPT teacher head0.346
Teacher spread0.315 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueRevista CPAQV - Centro de Pesquisas Avançadas em Qualidade de VidaSame topicPhysical Education and GymnasticsFrench-language works237,207