COMPARISON OF ORAL HEALTH STATUS AMONG STUDENTS OF PUBLIC AND PRIVATE SECTOR SCHOOLS
Bibliographic record
Abstract
Current study aimed to explore the prevalence of dental problems including dental caries among 12 years old students studying in public and private sector schools in Pakistan. 677 students were recruited in the study from 2 private and 2 public sector schools of Lahore. Significant difference between students of public and private schools was found in terms of prevalence of dental caries (X2= 35.094, P<.001). Significant difference between students of public and private schools was found in terms of scaling requirement X2=54.778, P<.001). Significant difference between students of public and private schools was found in terms of gum bleeding (X2=35.245, P<.001). Significant difference between students of public and private schools was not found in terms of Plaque accumulation (X2=54.778, P<.001). Significant difference between students of public and private schools was found in terms of fluorosis (X2=44.557, P<.001). In conclusion, dental caries and fluorosis was found higher among school going students in Lahore.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".