Prenatal, Maternal, and Early Childhood Factors Associated with Dental General Anesthesia to Treat Severe Early Childhood Caries.
Bibliographic record
Abstract
There were 16,015 cases reviewed. Variables with a higher likelihood of surgery included: child's age (1.02 (OR), 1.02 to 1.02 (95% CI)); large-for-gestational-age (1.24, 1.19 to 1.30); young maternal age at birth (1.47, 1.04 to 2.07); lower income quintiles (3.24, 3.04 to 3.45); receiving income assistance (1.61, 1.54 to 1.69); more hospital visits (1.17, 1.15 to 1.18); and a history of being "in care/foster care" (1.11, 1.04 to 1.19). Variables with less likelihood of surgery included: initiating breastfeeding before discharge (0.69, 0.67 to 0.72); low five-minute Apgar score (0.88, 0.79 to 0.97); being female (0.96, 0.93 to 0.99); mothers ≥ 30 years old at birth (0.86, 0.82 to 0.89); urban dwellers (0.47, 0.45 to 0.49); and higher physician visits (0.995, 0.99 to 1.00). Conclusion: Understanding risk factors associated with surgery for S-ECC may provide clues about promising prenatal and early childhood oral health interventions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".