Osteochondral Allograft Implantation Using the Smith–Peterson (Anterior) Approach for Chondral Lesions of the Femoral Head
Bibliographic record
Abstract
Management of chondral lesions of the femoral head can be challenging. Previously described approaches include arthroscopic surgery for small lesions and open surgical dislocation for larger lesions. In 2001, Ganz popularized the trochanteric flip osteotomy for surgical dislocation, and this remains the workhorse for treatment of large chondral lesions. However, by using a Smith-Peterson (direct anterior) approach and a femoral head allograft, large lesions may be treated while avoiding both trochanteric osteotomy and donor-site morbidity. We present our technique using a Smith-Peterson approach and osteochondral implantation of fresh femoral head allograft for surgical treatment of a femoral head chondral lesion.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".