Can Healthy Eating Index Be a Predictor for Early Childhood Caries in Indian Children
Bibliographic record
Abstract
Objective: To assess whether Healthy Eating Index (HEI) can predict Error correction code (ECC) in children of 3–6 year old. Materials and Methods: Our sample included 350 3–6 year old children attending outpatient department of Pedodontia. Caries score was assessed using decayed, missing, and filled teeth index and HEI was used to evaluate the diet quality. Results: About 65.9% of the children who were breast feeding and bottle feeding at night had higher S-ECC and it was statistically significant ( P = 0.001). Conclusion: HEI scores were inversely related to caries severity, i.e. HEI score was significantly higher in simple ECC (57.4) and lesser in S-ECC (53.2).
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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 | 0.001 | 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 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".