Bibliographic record
Abstract
Objective To validate the applicability of Demirjian's method for age estimation in children and teenagers of urumqi Uighur population. Methods Digital panoramic radiographs of 362 children of urumqi origin were assessed in Demirjian's method. There were 195 boys and 167 girls involved in this study with chronological age from 3 to 16 years.The dental maturity scores(DMS) and dental ages of all the subjects were calculated.Paired t-test was performed between the chronological age and the age determined by Demirjian's method.The method of nonlinear regression was used to established the logistic model between the dental maturity score and the chronological age initially. Results The Demirjian method utilizing French-Canadian standards presented significant difference between dental age and chronological age for the sample.The results of paired t-test between chronological age and predicted age showed that there was significant difference(P0.05)in boys and girls.Demirjian's dataset is not suitable for estimating the age of 3-16 years old urumqi Uighur children.The regression equations were estabilished as follows:Y(male)=-61.119+20.965X-0.686X2,Y(female) =-74.475 +25.214X-0.901X2. Conclusion The standards of dental age described by Demirjian etal may not be suitable for urumqi children. Uygur children may need their own specific standard for an accurate estimation of chronological age.
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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 | 0.010 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.002 |
| 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 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".