Infection Control Practices in Orthodontics during COVID-19
Bibliographic record
Abstract
Aim: To find out infection control practices among orthodontists in Punjab, Pakistan during COVID-19 pandemic. Methods: This cross sectional study was conceived from 1.6.2020 to 1.1.2021. A pre-designed proforma was used to find out the infection control practices in orthodontics. Each pre-designed proforma consisted of 10 questions about infection control. The pre-designed proforma was distributed among 50 orthodontists. The response rate was 100%. Results: The results showed that most of the orthodontists were up-dated and in practice of using proper infection control measures while COVID-19. Gloves, PPE, Protective eye wears and face shields were worn by most of the respondents. Most of them were using proper disinfection and sterilization measures. Conclusion: The knowledge and practices of infection control in orthodontics was appropriate and up to standards during COVID-19. Key words: Infection Control; Orthodontics
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".