Outpatient rehabilitation for a patient with hip osteoarthritis
Bibliographic record
Abstract
A patient with osteoarthritis of the hip was seen for nine physical therapy sessions at the California State University Sacramento pro-bono clinic.The sessions were provided by a physical therapist student under the supervision of a licensed physical therapist.During the patient's initial examination, the following measures were used to identify her body structure and function impairments, activity limitations, and participation restrictions: Numeric Pain Rating Scale, hand held dynamometry, Goniometry, The Western Ontario and McMaster Universities Osteoarthritis Index, Five Times Sit to Stand Test, and patient reports on participation.A plan of care was established.Goals for the patient were to decrease pain, improve hip range of motion and strength, functional mobility, ambulatory ability, and functional independence.Main interventions used were impairment based manual therapy, functional training, body weight supported treadmill training, and task-specific training.On discharge, the patient demonstrated improvements in pain, hip strength, functional mobility, ambulatory ability, and had progressed towards functional independence.She was able to achieve her personal goal of participating in her community walking program and to squat down to vi do gardening without pain.The patient was discharged from physical therapy 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".