The Microflora Associated with the Progression of Incipient Carious Lesions in Teeth of Children Living in a Water-Fluoridated Area
Bibliographic record
Abstract
Radiographically diagnosed incipient approximal carious lesions in deciduous molar teeth and control sites were sampled microbiologically at 6- or 12-week intervals for at least 12 months. Microbiological findings were related to radiographically diagnosed progression or non-progression of the lesions. Lactobacillus appeared at the site of 85% of progressive lesions before clinical diagnosis of progression was made and was never isolated from non-progressive lesions or control sites. Significant positive associations were detected between Streptococcus mutans, Lactobacillus, Veillonella and Actinomyces odontolyticus and progressive lesions. Singificant negative associations were detected with Streptococcus mitior, Actinomyces naeslundii and Actinomyces viscosus. Comparison of the data from control surfaces in subjects with and without progressive lesions suggested that the former were more highly colonized with S. mutans. The data emphasizes the significance of S. mutans and Lactobacillus in lesion progression and draws attention to a role of A. odontolyticus. The negative association suggests a shift in the flora with a reduction in S. mitior and A. viscosus and A. naeslundii in progressive lesions.
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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 | 0.001 |
| 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) | 0.001 | 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".