The Americleft Study: An Inter-Center Study of Treatment Outcomes for Patients with Unilateral Cleft Lip and Palate Part 4. Nasolabial Aesthetics
Bibliographic record
Abstract
OBJECTIVE: To compare the nasolabial aesthetics for individuals with nonsyndromic complete unilateral cleft lip and palate between the ages of 5 and 12 years. DESIGN: Retrospective cross-sectional study. SETTING: Four cleft centers in North America. SUBJECTS: A total of 124 subjects with repaired complete unilateral cleft lip and palate who were treated at the four centers. METHODS: After ethics approval was obtained, 124 preorthodontic frontal and profile patient images were scanned, cropped to show the nose and upper lip, and coded. Using the coded images, four nasolabial features that reflect aesthetics (i.e., nasal symmetry, nasal form, vermilion border, and nasolabial profile) were rated by five examiners using the rating system reported by Asher-McDade et al. (1991) . Intrarater and interrater reliabilities were determined using weighted kappa statistics. Mean ratings, by center, were compared using analysis of variance. RESULTS: Intrarater reliability scores were good to very good and interrater reliability scores were moderate to good. Total nasolabial scores were Center B = 2.98, Center C = 3.02, Center D = 2.80, and Center E = 2.87. No statistically significant differences among centers were detected for both total aesthetic scores and for any of the individual aesthetic components. CONCLUSION: There were no significant differences in nasolabial aesthetics among the centers evaluated. Overall good to fair nasolabial aesthetic results were achieved using the different treatment protocols in the four North American centers.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".