More knee pain, less hip and ankle joint power: The relationship between knee osteoarthritis pain and joint power
Bibliographic record
Abstract
]. Participants completed six cycling bouts at three seat heights (20°, 30°, 40° minimum knee flexion angle) and two workloads (40 W, 75 W) on a stationary bike. Self-reported pain was recorded for each knee before the first bout and after each bout. Three-dimensional kinematics and kinetics were collected synchronously with motion capture and instrumented pedals. A greater workload was associated with greater hip power asymmetry (p < 0.01); otherwise, seat height and workload did not affect power asymmetry (p > 0.05). Relationships were found between knee pain asymmetry and hip, ankle and total leg power asymmetry (p < 0.01), but not knee (p > 0.05). The hip, ankle and total leg with the more painful knee produced less power than the opposite side. The more painful knee cannot be assumed to produce less power than the contralateral side. These findings show that, at low workloads, clinicians can adjust seat height to patient preference without affecting joint power production during cycling.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
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".