Bibliographic record
Abstract
Purpose: This study is to examine the effect of electrical muscle stimulation therapy on chronic knee pain for aged. Method: Design was randomized one-group pretest-posttest design. Samples were total 15 elderly on 60 years old and above with chronic knee pain. Measures were S-F McGill Pain Questuionnaire and Arthritis Impact Measurement Scale for knee pain. Electrical muscle stimulation therapy, experimental treatment was applied on chronic knee pain for 4 weeks, 3 times/week, 15 min/time. Data were collected from half March 2005 to May 2005. Data were analyzed using SPSS PC+ 12 version. Descriptive statistics was used for analysis of general characteristics in sample, and paired t-test was used to analysis the effect of electrical muscle stimulation therapy. Results: After receiving the electrical muscle stimulation therapy chronic knee pain was significantly decreased (t=-29.163, P=.000 in S-F MPQ; t=-37.005, P=.000 in AIMS). Conclusion: Electrical muscle stimulation therapy can be a better effective primary nursing intervention on chronic knee pain for aged in community.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".