Asthma as a risk factor for dental caries and dental erosion in children and adolescents
Bibliographic record
Abstract
Objectives. The objective is to look at the association between asthma and oral health by attempting to answer the following question: is asthma a risk factor for dental decay and/or dental erosion in children and adolescents via an evidence based report (EBR) and an analysis of a national data base set. Methods. For the EBR, a total of 8 studies were identified for decay and 3 for erosion. For the database analysis report, data was analyzed from the 2003 Canadian Community Health Survey public use data file. Results. In the EBR, two studies revealed a positive association between asthma and decay vs. only one with erosion. The database analysis report demonstrated a higher percentage of tooth sensitivity in asthmatic children with asthma. Conclusion. Since no clear association between asthmatic children, decay and erosion could be established, education and prevention programs should be directed to this group until an association can be proven.
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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 | 0.003 |
| 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 | 0.001 | 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".