Impact of Skeletal Malocclusion on Quality of Life
Bibliographic record
Abstract
Introduction: nowadays, one of the remarkable issues in dentistry is jaw growth pattern and tooth and mouth conditions (oral conditions) on patients’ quality of life and daily activities. This study was done to evaluate skeletal malocclusion effect on the quality of life and oral health in Ahvaz. Methods: 80 people with skeletal malocclusion and 80 people with normal skeletal occlusion (control) participated in this cross-sectional study. Data collection tools included: demographic and oral health impact questionnaires. Results: there is not any significant difference between average quality of life of people with Cl III and Cl II skeletal (p=0.761), but there is a meaningful relation between Cl II skeletal and normal skeletal groups and also between Cl III skeletal and normal skeletal groups (p<0.001). Conclusion: according to social and moral issues importance in raising the quality of life score and because study results showed that these patients are not in good condition of that, considering different moral and social aspects of oral condition in presenting dentistry services are suggested to develop general quality of life
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".