Dental Age Assessment of 8.5 to 17 Year-old Saudi Children Using Demirjian's Method
Bibliographic record
Abstract
AIM: The aim of this study was to assess the dental age in Saudi children aged 8.5 to 17 years using the Demirjian method. METHODS AND MATERIALS: Four hundred ninety panoramic radiographs of boys and girls were reviewed retrospectively. All children were placed in the age group closest to their chronological age. The dental age was scored on all seven left mandibular teeth by one examiner. RESULTS: Both boys and girls in age groups nine to 14 years showed advanced dental age compared to their chronological age which was found to be statistically significant except in age groups nine and 13 years. Saudi boys were 0.3 years and Saudi girls 0.4 years ahead, on average, of French-Canadian children as analyzed by the Demirjian method. CONCLUSION: The standard values for French-Canadian children provided by Demirjian vary slightly for application to Saudi children. As a result, new graphs and tables were produced to convert these maturity scores, calculated by the Demirjian method, to the dental age for Saudi children.
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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".