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Record W2974961228

퇴행성 슬관절염 환자에 대한 수정된 대퇴사두근과 슬괵근 운동의 동시수축 효과

2010· article· ko· W2974961228 on OpenAlexaboutno aff
강정선, Wanhee Lee, Dongjin Lee, 황돈영

Bibliographic record

Venue대한물리의학회지 · 2010
Typearticle
Languageko
FieldMedicine
TopicHealthcare and Venom Research
Canadian institutionsnot available
Fundersnot available
KeywordsHamstringMedicineWOMACOsteoarthritisPhysical therapyMuscle strengthPhysical medicine and rehabilitation
DOInot available

Abstract

fetched live from OpenAlex

Purpose:The purpose of this study was to investigate a modified maneuver for quadriceps setting exercise for patients with knee osteoarthritis. Methods:The patients were randomly divided into a modified maneuver for quadriceps setting exercise group (MQG) and conventional quadriceps setting exercise group(CQG). Total of 28 patients received a modality with training for 1 hour, three times a week for 12 weeks. Results:Each group showed significant reductions in the WOMAC(Western Ontario McMaster Universities Osteoarthritis) Index, mobility, and muscle strength after 12 weeks. In pain, physical function, and hamstring muscle strength, there was a statistically significant difference between groups. Conclusion:According to the results, MQG experienced less pain, physical function, and increased more hamstring muscle strength than NQG.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

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)0.0020.000

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 head0.071
GPT teacher head0.449
Teacher spread0.378 · 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
Published2010
Admission routes1
Has abstractyes

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