Surgical Management of Healed Slipped Capital Femoral Epiphysis
Bibliographic record
Abstract
Slipped capital femoral epiphysis (SCFE) results in posterior and inferior displacement of the epiphysis on the femoral neck. In most centers, the recommended initial management of stable SCFE is in situ pinning. Minimal reduction with in situ pinning is recommended for unstable SCFE. This approach does not restore the normal anatomy of the hip joint, and the resulting proximal femoral deformity may cause femoroacetabular impingement. Patients with femoroacetabular impingement experience reduced hip range of motion as well as hip pain, and they are at risk of early-onset hip osteoarthritis. Techniques for managing this deformity include arthroscopic femoral neck osteochondroplasty, a limited anterior hip approach or surgical hip dislocation, and flexion intertrochanteric osteotomy. These surgical techniques should be considered for patients with healed SCFE deformity who present with hip pain at an early age.
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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 | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".