Georeferencing of adolescents with malocclusion in a capital of Southern Brazil
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The aim of this study was to analyze the prevalence and to georeference the malocclusion traits in adolescents in the city of Curitiba, Paraná, Brazil. Data from a previous cross-sectional study with 538 adolescents aged 10 to 14 years were used. In addition, the following variables were used: gender, Health District (HD) of residence, and presence and malocclusion traits. Fisher’s Exact Test, georeferencing, and kernel mapping were used for data evaluation. Malocclusion was observed in 52.4% of individuals, and the most prevalent occlusal trait was deep bite (22.7%), followed by excessive overjet (19.9%), anterior crowding (8.0%), posterior crossbite (6.5%), anterior open bite (4.8%), and anterior crossbite (1.7%). Malocclusion was not associated with gender (p = 0.389) or HD (p = 0.079). However, when stratified by gender, the deep bite prevailed among male. The highest malocclusion trait’s prevalence was observed in the HDs of Cajuru, Pinheirinho, Boa Vista, and Cidade Industrial de Curitiba. Despite the absence of significant differences in relation to gender and HD, the prevalence of malocclusion traits in the sample studied was high, especially for deep bite. Additionally, georeferencing proved to be useful for identifying the distribution of malocclusion in Curitiba.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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