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Record W2523273932

퇴행성 슬관절염 환자의 하지 근력 강화 운동이 균형능력에 미치는 영향

2007· article· ko· W2523273932 on OpenAlexaboutno aff
Won Seuk Jang, 배성수, 정연우

Bibliographic record

Venue대한물리의학회지 = Journal of the Korean Society of Physical Medicine · 2007
Typearticle
Languageko
FieldMedicine
TopicHealthcare and Venom Research
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical therapyMedicinePhysical medicine and rehabilitationOsteoarthritisAlternative medicine
DOInot available

Abstract

fetched live from OpenAlex

【Purpose : The main purpose of this study was to investigate the influence of lower extremity strengthening on balance ability of knee osteoarthritis. Methods : The walking exercise group with modality treatment and strengthening exercise group with modality treatment. The walking exercise and strengthening for 40 minutes per day and three times a week during 6 weeks period. Short Form McGill Pain Questionnaire(SFMPQ) was used to measure patient's pain level. Patient Specific Functional Scale(PSFS) was used to measure patient's functional disability level. BPM was used to measure sway area. Global Perceived Effect Scale(GPES) was used to measure recovery or worse of patient's condition. Results : 1. SFMPQ was strengthening exercise group showed significantly decreased more than walking exercise group(p】

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.052
GPT teacher head0.405
Teacher spread0.353 · 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 designNon-randomized 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
Published2007
Admission routes1
Has abstractyes

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Same venue대한물리의학회지 = Journal of the Korean Society of Physical MedicineSame topicHealthcare and Venom ResearchFrench-language works237,207