Caries Prevalence and Length of Residency in Fluoridated and Non-Fluoridated Communities
Bibliographic record
Abstract
The caries experience of grade 6 Canadian schoolchildren was examined related to length of residence in non-fluoridated Camrose (0.23 ppm) and adjacent fluoridated Wetaskiwin (1.08 ppm). The mean age was 11.94 +/- 0.65 years, 115 being examined in Camrose and 89 in Wetaskiwin. The mean DMFT and DMFS values were similar in both the non-fluoridated and fluoridated communities with DMFT of 2.39 and 2.65 and DMFS of 3.40 and 3.54, respectively. When a minimum 5-year residency requirement was imposed, the data changed, showing for those children with 5-year residency DMFT values of 2.43 and 2.26 and DMFS values of 3.35 and 2.79, respectively, for non-fluoridated Camrose and fluoridated Wetaskiwin. Although the fluoridated community had 17% less surfaces with caries, differences between the fluoridated and non-fluoridated communities were not statistically significant. Within the fluoridated community, differences in DMFT and DMFS between children resident less than 5 and greater than 5 years were statistically significant (DMFT p less than 0.05; DMFS p less than 0.01). When comparing regions where adjacent communities exist, with and without water fluoridation, and in making decisions on fluoride supplementation levels for children who have changed residency to such communities, it is important that this type of information is taken into account.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".