Determination of Mandibular Symphysis Width in Skeletal Class I Patients with Different Vertical Patterns
Bibliographic record
Abstract
Symphysis is an anatomical part of mandible that includes lower incisors and anterior chin. Mandibular symphysis is a contributing factor of facial harmony for esthetics and is a determinant for lower incisor position in orthodontic treatment planning for border line cases. This cross-sectional study was carried out in Orthodontics department, Fatima Memorial Hospital College of Medicine and Dentistry Lahore on a sample size of 90 cases using 95% confidence level. Non probability consecutive sampling technique was used. Symphyseal dimensions were measured on lateral cephalogram. Data collected was entered and analyzed in computer program SPSS version 20. Quantitative outcomes like symphysis dimensions, symphysis width, vertical pattern, and ANB were subjected to ANOVA of significance. Independent T-test was used to make the comparison between males and females on the basis of variables. Results of this study suggested thatC-C’ varies significantly between males and females, whereas the differences in symphysis width LA, and LP between males & females are statistically insignificant (P>0.05). Bone anterior to lower incisor apex varies significantly among various facial profiles with hypo divergent males exhibiting wider chin than normo divergent and hyper divergent subjects. Sexual dimorphism in symphysis width was seen among genders. Keywords: Facial harmony, lower incisor position
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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) | 0.003 | 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".