Daily Use of Biologic Indicators in General Dental Practice.
Bibliographic record
Abstract
OBJECTIVES: In most North American jurisdictions, guidelines for use of biologic indicators (BIs) in general dental practice have recommended testing at least weekly. However, in 2011, Alberta mandated a change to daily testing, and other provinces have adopted similar protocols. This study of general dental practices in Alberta assessed factors related to implementation of the changed requirement. METHODS: A survey of 705 randomly selected dental offices queried factors related to implementation of the daily BI testing protocol, including the number of positive test results. We compared findings to analogous data from external laboratory BI tests obtained on a weekly or monthly basis over the preceding 10 years. RESULTS: The response rate was a 32.6%. The survey results indicated almost complete compliance with the daily testing requirement and a universal shift to in-office testing. A commensurate 76-fold increase in testing was accompanied by a 15-fold decrease in positive results compared with previous laboratory data. However, although not statistically significant, more offices identified defective sterilizer function through internal testing compared with less-frequent external laboratory testing (5.7% vs 3.2%). The offices reporting positive test results had a significantly higher mean number of repeat positive tests (internal 3.1, SD 1.9 vs. external 1.1, SD 0.11). CONCLUSIONS: The daily testing requirement was accompanied by a concomitant universal shift from external laboratory to internal office testing. A large decline in the rate of positive testing results was observed, although possibly more offices identified defective sterilizer function.
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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 | 0.003 | 0.010 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".