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Record W3202650021

Método Pilates no tratamento da osteoartrite de joelho: pesquisa clínica controlada e randomizada

2018· article· es· W3202650021 on OpenAlexaboutno aff
Gláucia Cristina Rodrigues Antunes

Bibliographic record

VenueUNIFESP Institutional Repository (Universidade Federal de São Paulo) · 2018
Typearticle
Languagees
FieldEngineering
TopicLower Extremity Biomechanics and Pathologies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Introduction: The Pilates Method, Created By Joseph Hubertus Pilates In 1918, Aims To Achieve Accurate Control Of The Body During Each Movement Slowly And Progressively Performed And With The Philosophy Of Body And Mind Training, Which Performs Muscle Work At Low Speed. The Pilates Method Consists Of Exercises Performed On The Ground Or With The Use Of Special Equipment Observing Six Principles Such As Concentration, Precision, Flow, Control, Breathing And Centering. Objectives: To Evaluate The Effect Of The Pilates Equipment In Pain And Physical Function Of The Elderly With Knee Oa. To Evaluate The Quality Of Life Of The Elderly Who Receive Treatment Using The Pilates Equipment. Methods: Fifty-Four Volunteers Were Divided Into Two Groups: The Control Group (Cg = 27) And The Experimental Group (Eg = 27) Both Sexes, With The Average Age 70.4 Years Old For Cg And 68.5 Years Old For Eg. The Data Were Collected With The Visual Analog Pain Scale (Vaps), Western Ontario Questionnaire Index And Mcmaster Universities

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)0.016
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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 designRandomized trial
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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Same venueUNIFESP Institutional Repository (Universidade Federal de São Paulo)Same topicLower Extremity Biomechanics and PathologiesFrench-language works237,207