Physical therapy treatment of a patient with unilateral hip osteoarthritis: a case analysis
Bibliographic record
Abstract
A patient with right hip osteoarthritis was seen for physical therapy treatment 1x/week for 6 weeks in an outpatient clinic.Treatment was provided by a student physical therapist under supervision of a licensed physical therapist.The patient was evaluated at the initial encounter with goniometry, the numeric pain rating scale, single leg stance time, squat performance, the Western Ontario and McMaster's Universities Osteoarthritis Index, the patient-specific functional scale, and patient report on work performance.The patient problems included: gait deviations, pain, reduced hip range of motion, decreased balance and motor control, disturbed sleep, decreased function in ADLs, and reduced work participation.Main goals for the patient were to improve range of motion, decrease pain, improve functional strength, improve sleep, decrease activity limitations, and improve work performance.Main interventions used were joint mobilizations, soft tissue massage, stretching, strengthening exercises, and education.vi The patient improved in range of motion, pain level, quality of sleep, ability to complete activities of daily living, and work performance.The patient was discharged to continue living at home with a home exercise program.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".