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Record W4239301440 · doi:10.5747/cv.2016.v08.n2.v162

ANÁLISE DO DESEMPENHO FUNCIONAL E PERFIL SÓCIODEMOGRÁFICO DE UMA POPULAÇÃO COM QUEIXA DE LOMBALGIA

2016· article· pt· W4239301440 on OpenAlexaff
Carolina Rodrigues Bortolatto, Mileide Cristina Stoco de Oliveira, Fernanda Mayra Fajalle, Elaine Aparecida Lozano da Silva

Bibliographic record

VenueColloquium Vitae · 2016
Typearticle
Languagept
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

O objetivo foi avaliar o desempenho funcional e caracterização de indivíduos com queixas de lombalgia de um grupo de exercícios terapêuticos de uma Estratégia de Saúde da Família (ESF). Foi realizado estudo transversal descritivo com 17 indivíduos, de idade média de 59 anos de ambos os sexos. O desempenho funcional foi avaliado pelo Questionário Roland Morris (RM) e a caracterização dos participantes foram a partir da coleta de dados sociodemográficos, antropométricos, localização da dor lombar, intensidade da dor pela Escala Visual Analógica (EVA). No perfil sociodemográfico a renda média foi de 1,64 salário. O índice de massa corporal variou de 22,39 a 38,91 Kg/m2. O escore do RM variou de 9 a 24 pontos de incapacidade funcional. Os resultados da EVA demonstraram que 41,2% dos indivíduos caracterizaram a dor lombar como intensa. Conclui-se que o comprometimento funcional dos indivíduos avaliados foi grave, causado pela presença de dores na coluna, principalmente, na região lombar.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.014
GPT teacher head0.285
Teacher spread0.270 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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