Smith–Lemli–Opitz syndrome: Objective assessment of facial phenotype
Bibliographic record
Abstract
Smith-Lemli-Opitz syndrome (SLOS), is an autosomal recessive condition caused by cholesterol synthesis deficiency which results in a wide phenotypic spectrum which includes multiple malformations, distinctive facial appearance, and intellectual disability. This anthropometric and observational study was carried out to define the key facial characteristics of individuals with SLOS and to evaluate evolution of the facial phenotype with age. Clinical photographs were obtained on 51 subjects with SLOS and standardized facial anthropometry was performed on 42; the ages ranged from 6 months to 20 years. For each individual, 22 standardized cranial and facial measurements were obtained and compared to published age- and sex-matched controls. Craniofacial pattern profiles were compared between sexes, various age groups, plasma cholesterol concentration at the time of diagnosis, and physical severity score. Mean-Z, a measurement of overall facial size, and craniofacial variability index (CVI), a summary anthropometric measure of craniofacial deviation from the norm, were calculated and compared according to methods published previously. A characteristic craniofacial pattern profile was universally present: narrow forehead, brachycephaly, short palpebral fissures, short nasal ridge, anteverted nares, flat face, normal jaw width, and retrognathia. The facial measurements of subjects with SLOS had higher deviations from the norm with mean CVI of 2.11; SD = 0.47 (controls: Mean = 0.76, SD = 0.19; <0.0001) than age- and sex-matched controls. Their faces were also smaller than controls: 70% of subjects had mean-Z values 2 SD below the mean for controls; average Z-score was -1.64; SD = 0.85 (controls: mean = 0, SD = 0.64; <0.0001). There were no significant differences in the craniofacial pattern profile between the sexes or clinical severity as measured by either plasma cholesterol level at the time of diagnosis or the physical severity score. Patients with a lower weight at the time of assessment and patients with higher physical severity score had higher CVI measures (P < 0.001 and P < 0.002, respectively), suggesting that the degree of deviation from craniofacial norms is a function of the overall physical severity.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".