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Record W4399381049 · doi:10.34024/rnc.2024.v32.16155

Escalas de avaliação cognitiva utilizadas por terapeutas ocupacionais: uma revisão da literatura

2024· review· pt· W4399381049 on OpenAlexaboutno aff
Ana Vitória Almeida Ribeiro, Daniella Ramos Nunes, Ana Paula Rosa do Nascimento, Jamily Cristina Alfaia da Serra, Marcelo Marques Cardoso, Kátia Maki Omura

Bibliographic record

VenueRevista Neurociências · 2024
Typereview
Languagept
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyCognitionPsychologyClinical psychologyPsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

Introdução. A demência é definida como alterações que acarretam prejuízos que acometem o desempenho ocupacional do idoso. É importante que haja uma boa avaliação para um diagnóstico precoce, possibilitando a redução de danos futuros na qualidade de vida do idoso. Objetivo. Identificar os instrumentos de avaliação cognitiva que foram mais utilizados pelos terapeutas ocupacionais com idosos demenciados no ano de 2010 a 2020. Método. Realizou-se uma revisão integrativa com um recorte temporal de 11 anos onde foram selecionados artigos escritos por terapeutas ocupacionais. Resultados. A amostra foi composta por 27 artigos contendo uma variedade de instrumentos de avaliação cognitiva, sendo mais utilizado o Mini Exame do Estado Mental, seguido do Clinical Dementia Rating e Montreal Cognitive Assessment. Conclusão. Observou-se a utilização de diversos instrumentos de avaliação cognitiva de idosos, entretanto, poucos eram específicos da Terapia Ocupacional.

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)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.706
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.004
Science and technology studies0.0030.000
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0030.013
Insufficient payload (model declined to judge)0.0060.023

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 head0.189
GPT teacher head0.496
Teacher spread0.308 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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