Bibliographic record
Abstract
Mueller-Weiss disease (MWD), which involves dorsolateral fragmentation and collapse of the navicular, leads to functional misalignment and painful deformities. The successful treatment of MWD hinges on a detailed and through assessment of the patient to establish the modality of treatment that best suits the patient. In cases where operative management is indicated, proceeding to recreate a relatively pain-manageable (or where possible pain free), well-aligned, plantegrade foot is the goal. This can be performed technically by (1) determining as to which joints are involved/arthritic, and ensuring to address them; (2) establishing the amount of bone loss present, and planning to reconstitute this with graft material; (3) preparing the graft bed adequately and diligently to optimize the healing environment for the graft material; (4) providing a biomechanically sound treatment strategy that provides stability while the graft material heals; (5) and using orthopaedic principles while also remaining flexible. This is important because there is considerable variability in the anatomy and characteristics of MWD. Because of this, no single strategy is likely the “correct” method. Although the supporting literature remains sparse, when these principles are followed and postoperative complications can be avoided, significant improvements in function have been demonstrated and can be anticipated. Level of Evidence : Diagnostic Level 5. See Instructions for Authors for a complete description of levels of evidence.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".