Letter to the Editor: Use of Morphometry to Quantify Osteolysis after Total Hip Arthroplasty
Bibliographic record
Abstract
To the Editor I congratulate Smith et al. for their excellent work on pelvic osteolysis [2]. They have developed a simple, reliable, and inexpensive tool to quantify osteolytic changes detected on plain radiographs. More precisely, they have developed an elegant means of measuring the area of osteolysis on plain radiographs. The main purpose of evaluating retroacetabular osteolysis is to determine when to perform a simple polyethylene liner exchange. Ideally, this should be performed before the osteolysis has led to aseptic loosening of the cementless acetabular prosthesis. In a previous study, I and my coauthors tried to correlate osteolysis with acetabular stability and we found that it was not the area of osteolysis that was predictive of acetabular loosening [1]. Instead, it was the percentage of the acetabular component associated with osteolysis that predicted acetabular stability [1]. It would be great if the tool developed by Smith et al. could be used to quantify the percentage of the acetabular prosthesis that was associated with osteolysis.
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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 | 0.002 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.013 | 0.012 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".