Day surgery visits for dental problems
Bibliographic record
Abstract
OBJECTIVES: To fill an information gap for dental care policy stakeholders in Canada, this pilot study explored the nature of day surgery (DS) visits for dental problems in Ontario, the country's largest province. METHODS: The Canadian Institute for Health Information's National Ambulatory Care Reporting System was used, which contains demographic, diagnostic, procedural and administrative information for ambulatory care settings across Ontario. Fiscal years 2003/2004 to 2005/2006 data were included for DS visits that had a main problem coded with an International Classification of Diseases code in the range K00-K14, representing diseases of the oral cavity, salivary glands and jaws. RESULTS: During this period, approximately 75 791 persons made 79 133 DS visits for dental problems in Ontario. Proportionally, children under 5 years of age with dental caries represent the majority of DS visits. Restorations and extractions were the most frequently performed DS care procedure. CONCLUSIONS: This is the first study of its kind in Canada, and confirms many of the assumptions held about DS care for dental problems. The study also acts as a baseline for ongoing quality improvement and planning within the province of Ontario.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".