The relationship between vertical facial morphology and overjet in untreated Class II subjects
Bibliographic record
Abstract
OBJECTIVE: To evaluate the association between vertical facial morphology and overjet in untreated Class II subjects. MATERIALS AND METHODS: The lateral cephalograms of 140 untreated Class II subjects (68 males and 72 females) between 8 and 11 years of age were divided into three groups based on their overjet value as measured on study casts: Group I normal overjet (less than 3 mm), Group II increased overjet (more than 3 mm but less than or equal to 6 mm), and Group III extreme overjet (more than 6 mm). Mean values and standard deviations of 28 variables measured on lateral cephalograms were calculated. Differences between the three groups were tested using one-way analysis of variance (ANOVA), followed by Bonferroni tests. Additionally, cephalometric differences between groups and available normal values for the Syrian population were evaluated using an independent t-test. RESULTS: Subjects with normal overjet showed a horizontal facial pattern and posterior inclination of the maxilla, whereas increased overjet subjects exhibited a neutral facial pattern. In contrast, subjects with extreme overjet had a vertical facial pattern and anterior inclination of the maxilla. The mandible was retrognathic and the maxilla was normally positioned in the three groups. CONCLUSIONS: A positive association was found between the overjet and the tendency toward a hyperdivergent pattern.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".