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Record W2318204980 · doi:10.1590/2317-6431-2015-1618

Aplicação da escala psicossocial de aparência facial na avaliação da paralisia facial periférica: estudo piloto

2016· article· pt· W2318204980 on OpenAlexaff
Mabile Francine Ferreira Silva, Stela Verzinhasse Peres, Adriana Tessitore, Jorge Rizzato Paschoal, Maria Cláudia Cunha

Bibliographic record

VenueAudiology - Communication Research · 2016
Typearticle
Languagept
FieldMedicine
TopicFacial Nerve Paralysis Treatment and Research
Canadian institutionsImpactQuest University Canada
FundersConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsPsychologyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

RESUMO Objetivo Aplicar a Escala Psicossocial de Aparência Facial, para verificar aplicabilidade e reprodutibilidade, por meio de estudo piloto. Métodos Casuística: seleção de oito sujeitos adultos com paralisia facial periférica, a partir de critérios estabelecidos. Procedimentos: 1. avaliação fonoaudiológica da função facial; 2. verificação da fidedignidade da Escala Psicossocial de Aparência Facial; 3. verificação da reprodutibilidade da escala; 4. aplicação da Escala Hospitalar de Ansiedade e Depressão. Foi realizada análise descritiva dos dados e aplicado o teste t-Student pareado, entre os momentos 1 e 2, e o coeficiente de correlação intraclasse (ricc). Resultados A verificação da aplicabilidade aumentou a familiaridade com o processo de coleta de dados e auxiliou nas modificações dos procedimentos. O questionário mostrou-se fidedigno para todas as escalas analisadas: Aspectos Funcionais da Face, Aspectos Sociais, Aspectos Emocionais, Geral e Nota atribuída ao rosto. O coeficiente de correlação intraclasse (ricc) demonstrou a reprodutibilidade do instrumento, tendo apresentado, neste caso, valores excelentes para todas os grupos temáticos analisados. Conclusão Esta pesquisa ofereceu subsídios para o aprimoramento e elaboração final de instrumento que investiga os aspectos psicossociais associados à paralisia facial periférica.

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)0.009
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0030.006
Scholarly communication0.0000.000
Open science0.0030.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.009

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 head0.169
GPT teacher head0.443
Teacher spread0.274 · 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 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

Citations5
Published2016
Admission routes1
Has abstractyes

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