Safety recommendations for dentists and maxillofacial surgeons during COVID-19 pandemic
Bibliographic record
Abstract
Oral health professionals are at high risk of developing COVID-19 infection due to their practice of close proximity to the patients. Patients in daily dental practice can be seen with basic protection protocol. Routine and elective dental procedures should be cancelled during this pandemic situation and could be rescheduled when the situation eases. In practice, as of universal prevention strategy, all patients should be assumed as COVID-19 infected and treated accordingly. Adequate standards of hygiene and protection should be adopted for all patients to avoid potential transmission risks. During the COVID-19 pandemic, it would be crucial to categorize oral and maxillofacial surgery cases into: emergency case, urgent case, intermediate case and low priority cases. While there has been a growing literature suggesting the aspect of critical care associated in treating these patients, ample of evidence indicates how this COVID-19 pandemic will affect surgical practice. Here we highlight the current unfavorable situation due to COVID -19 and offer recommendations for changes to dental and maxillofacial surgical practices. J Bangladesh Coll Phys Surg 2020; 38(4): 197-204
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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 | 0.008 | 0.045 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.010 | 0.007 |
| Insufficient payload (model declined to judge) | 0.025 | 0.010 |
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".