Optimizing Exercise Selection for the Asymmetric Athlete After Anterior Cruciate Ligament Reconstruction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Persistent deficits in quadriceps strength occur after anterior cruciate ligament (ACL) reconstruction and should be addressed to facilitate safe return to sport. Asymmetric movement patterns that shield the affected knee by shifting demands to the unaffected lower extremity, or other joints within the affected limb, may limit the ability of common strength training exercises to effectively mitigate quadriceps weakness. A multifaceted approach focusing on the early restoration of symmetrical loading during the squat, programming isolated knee extensions, and varying exercise selection to include split-stance positions, such as the split-squat and lunge, may result in the successful restoration of quadriceps strength after ACL reconstruction.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 it