Does occupational self-competence perception relate to functional outcomes after total knee arthroplasty?
Bibliographic record
Abstract
Aim: The study investigates the effect of occupational self-perception level on the functional status in the early period after total knee arthroplasty (TKA). Methods: Occupational Self Assessment (OSA), Canadian Occupational Performance Measure (COPM), Knee Injury and Osteoarthritis Outcome Score (KOOS), and Timed Up and Go Test (TUG) tests were administered before and at the 3rd and 6th week after surgery. Changes in COPM, KOOS, and TUG tests were analyzed using Friedman test. The relationship of OSA was examined using the Pearson correlation test. Results: Self-perception score was statistically in relation to TUG (r =- 0.600; p = 0.001). It was not significantly related with other assessment scores (p>0.05). Conclusion: Occupational self-competence perception of individuals affect their actual performance levels therefore; high occupational self-perception level may affect the recovery positively.
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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 | 0.003 |
| 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) | 0.002 | 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".