Multiple joint dislocations: An additional skeletal finding in Lowry–Wood syndrome?
Bibliographic record
Abstract
We report on the case of a 17-year-old boy with clinical features compatible with Lowry-Wood syndrome: microcephaly, short stature, multiple epiphyseal dysplasia, tapetoretinal degeneration, and mental retardation. Bilateral restricted elbow extension, knock knees and hip dislocation were also present. Radiographs showed evidence of radial dislocation due to the absence of the radial heads, lateral dislocation of both patellae, multiple epiphyseal dysplasia that was more severe at the proximal femoral epiphyses, and dislocation of both hips with severe hip dysplasia. The patient developed a behavioral disorder at age 15. Conventional karyotyping was normal (46,XY). Molecular karyotyping, performed through array-based competitive genomic hybridization, showed copy number variants that were probably benign. We suggest that multiple joint dislocations, including the patellae, may be a sign of Lowry-Wood syndrome.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".