Muenke syndrome with pigmentary disorder and probable hemimegalencephaly: An expansion of the phenotype
Bibliographic record
Abstract
We describe a 2-year-old boy born to healthy, consanguineous parents. He had craniofacial asymmetry with left frontal bossing, midface hypoplasia, proptosis, and low-set ears. In addition, he had curly, light hair, and oval hypomelanotic patches in the abdomen, lower limbs and back and one hyperpigmented patch in the groin without acanthosis nigricans. Cranial three-dimensional CT scan showed right-coronal, sagittal, and lambdoid suture synostoses. His cranial MRI at 2-months of age showed left hemimegalencephaly, hypoplasia of corpus callosum, and an abnormal configuration of hippocampus. In spite of these cranial findings, he had mild developmental delay and his neurological examination showed symmetric strength, tone and reflexes. Apart from febrile seizures, there was no history of epilepsy. The proband developed asymmetric hydrocephalus at the age of 18 months that required third ventriculostomy. Post-operative cranial MRI showed Chiari I- like malformation and asymmetry of cerebral hemispheres but less dysplastic cerebral cortex. Mutation analysis of FGFR3 showed a c.749C > G, p.Pro250Arg substitution. To the best of our knowledge, these manifestations have not been reported in patients with Muenke 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 |
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 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".