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Avaliação do Controle Postural e do Tipo do Pé de Pessoas com Deficiência Visual

2020· article· pt· W1620827164 on OpenAlexaff
Marcela Silva Protetti, Andréia Naomi Sankako, Sebastião Marcos Ribeiro de Carvalho, Lí­gia Maria Presumido Braccialli

Bibliographic record

VenueREVISTA DA ASSOCIAÇÃO BRASILEIRA DE ATIVIDADE MOTORA ADAPTADA · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicAcademic Research in Diverse Fields
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsHumanitiesMedicinePsychologyPhysicsPhilosophy

Abstract

fetched live from OpenAlex

A alteração do equilíbrio em deficientes visuais é alvo de investigações, uma vez que equilíbrio e visão estão inter-relacionados. Além disso, outro importante fator na manutenção do controle postural é o aspecto biomecânico dos pés. Este estudo teve como objetivo avaliar o controle postural e o tipo dos pés de pessoas com deficiência visual. Para tanto, participaram do estudo 17 adultos com deficiênciavisual que foram avaliados por meio do sistema de baropodometria. Os dados referentes à oscilação do centro de pressão foram analisados por meio do software Conformat Research 5.8, e submetidos ao teste estatístico de Mann-Whitney. Os resultados mostraram que não houve diferença estatisticamente significante no controle postural ao comparar indivíduos com resíduo e sem resíduo visual e que apresentavam pé normal e pé com alterações biomecânicas, o que demonstra que o déficit visual foi o principal fator das alterações no controle postural para os participantes desse estudo.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
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 head0.074
GPT teacher head0.358
Teacher spread0.285 · 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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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