Unicompartmental Knee Arthroplasty and Patellofemoral Resurfacing Arthroplasty
Bibliographic record
Abstract
This chapter presents the case scenarios of an active 58-year-old female who has lateral knee pain that is disabling, and a 46-year-old woman with a medical history of multiple patella dislocations with previous lateral release. Unicompartmental knee arthroplasty (UKA) has been an accepted alternative to total knee arthroplasty (TKA) since the 1970s. It is attractive because of its ligament and bone preserving surgery, shorter and simpler rehabilitation, and some findings suggesting improved function and satisfaction when compared to TKA. TKA can provide significant improvement in younger patients with isolated patellofemoral arthritis. Patellofemoral arthroplasty is a reasonable choice to extend function and reduce pain while avoiding a more complex TKA. Like UKA, it remains an intermediate solution for some patients and an important option. The chapter also provides recommendations for implementing evidence-based practice in the clinical setting.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.009 |
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".