Self-perceived orthodontic treatment need evaluated through 3 scales in a university population
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To evaluate the self-perceived orthodontic treatment need in a university population evaluated through 3 scales that used different approaches. DESIGN: Cross-sectional survey. SETTING: University dental clinic, Lima, Peru, 2001. MATERIALS AND METHODS: Questionnaires that gathered perceptions on dentofacial aesthetic perception and orthodontic treatment need were applied to a randomly selected sample (329) of first year university students (729). Subjects undergoing orthodontic treatment at the time of examination were excluded. MAIN OUTCOME MEASURES: Aesthetic component (AC) of the Index of Orthodontic Treatment Need (IOTN), Oral Aesthetics Subjective Index Scale (OASIS) and a visual analogue scale (VAS) were used. STATISTICAL ANALYSIS: Descriptive statistics, Spearman correlation test, Kruskall-Wallis test and Mann-Whitney U-test were used. RESULTS: For the AC, 87.5% were in the "without treatment need" category, 10.6% in the "borderline need" category and 1.8% in the "treatment need" category. The mean AC score was 3.02 (+/-1.49). The mean OASIS score was 11.81 (+/-4.84), and the VAS score was 40.16 (+/-18.16). Correlations between the 3 self-assessment scales were moderate (AC-OASIS 0.416, AC-VAS 0.541 and OASIS-VAS 0.457). Gender or previous orthodontic treatment had no influence (p<0.05) on the scales. CONCLUSIONS: Differences in the approaches used by each scale to evaluate the self-perception of the aesthetical arrangement of the front teeth may explain the moderate correlation values.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it