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Record W2791601424 · doi:10.14295/idonline.v12i39.946

Efeitos da Mobilização Neural na Incapacidade Funcional em Pacientes com Hérnia de Disco Cervical

2018· article· pt· W2791601424 on OpenAlexaboutno aff
Virgílio Santana Júnior, Tácila Ribeiro Coelho

Bibliographic record

VenueID on line REVISTA DE PSICOLOGIA · 2018
Typearticle
Languagept
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHumanitiesArt

Abstract

fetched live from OpenAlex

O objetivo deste estudo foi analisar o efeito da Mobilização Neural em pacientes com hérnia de disco cervical. Trata-se de um estudo descritivo de corte transversal com abordagem quantitativa, realizado com dois indivíduos, sendo um do sexo masculino e outro do sexo feminino. Aplicou-se um questionário sociodemográfico, questionário de McGill e a Escala Visual Analógica para a identificação das variáveis do estudo. O tratamento foi feito com a Mobilização Neural em dezesseis sessões. Pode-se observar um decréscimo da percepção de dor através da Escala Visual Analógica. Por meio da aplicação do McGill foi possível evidenciar que o subgrupo de maior índice de dor nos dois indivíduos foi o de experiência dolorosa. Na avaliação da goniometria evidenciou crescimento constante da média de angulação do indivíduos avaliados para todas as categorias de manobras. A mobilização neural no tratamento de pacientes com hérnia de disco cervical mostrou ser eficaz.

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)0.008
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.032
GPT teacher head0.325
Teacher spread0.294 · 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
Published2018
Admission routes1
Has abstractyes

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