Bibliographic record
Abstract
This comprehensive community health intervention aimed to improve the oral health and reduce the incidence of dental caries in Tabuk schoolchildren. The program supports the public health pyramid that provides a framework to improve health and included creating and evaluating a school oral health surveillance system, applying fluoride varnish and dental sealants on high- and medium-caries risk children, and providing treatment for existing diseases. In a pilot phase, 48 children (26 males 22 females; mean age 6.42; dmft 9.33, Decayed, Missing, or Filled Primary and Permanent Teeth (DMFT) 3.27) received the dental services, both treatment and prevention. Three hundred seventy-eight composite resin or resin-modified light-cured glass ionomer restorations were placed. One-hundred and eighteen teeth received pulp therapy (pulpotomy or pulpectomy), ten of which received stainless steel crowns. A total of 72 teeth were extracted due to caries. To understand the effects of dental disease on children, as perceived by parents, an oral health-related quality of life survey was completed and analyzed. Results found an underestimation of the role the teeth play, particularly primary teeth, in the general health and wellbeing of the child. The program’s main evaluation effort focused on the process and outcome objectives, including the number of children received care, number of teeth received restorations and sealants, and number of children received fluoride varnish, etc. Analyzing the effect of the program on oral hygiene revealed an improvement in oral health, as a direct result of oral health educational sessions and one-to-one counseling. There is an urgent need to expand the program to include all primary schools.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".