Primary prevention methods of dental caries
Bibliographic record
Abstract
Studying the role of chewing gums(CGs) in prevention of major dental diseases among school children. During the study the organoleptic characteristics(taste, refreshing effect, density, consistency, etc.) of CGs produced by several countries were studied. The prevalence of major dental diseases among 120 children aged 8-15 years in 4 schools in Sabail district, Baku, Azerbaijan was studied. 68 schoolchildren participated in clinical studies. All participants had regular and confident oral hygiene habits before the study. For evaluation the effects of CGs on oral hygiene and equal distribution of masticatory force, “Orbit” CGs for children were used in our research. It was found that American and Canadian CGs are less common in Baku. Despite the fact that companies of these countries play a leading role in production of CGs, the share of these gums in the local market is only 8.9±3.4% of the total market. It was determined that 62 of the 120 examined schoolchildren follow standard oral hygiene rules along with CGs usage. Also, it was found that 27.6±2.8% of younger age group schoolchildren use CGs produced by unknown companies, and these gums contain carcinogenic substances coded as E121, E123, E240. The analysis of the purpose of using CGs showed that 53.0±2.9% of younger schoolchildren used it for pleasure; 80.8±24% of 12-15-years-old schoolchildren used it as both, a hygienic tool and for refreshment. By optimization methods it was determined that CGs have an effective preventive, cleansing, refreshing and active anti-caries effect when chewed per 1 pad, 3 times a day, 25 minutes after each meal.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 0.006 |
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".