Desafios da prevenção do novo coronavírus (COVID-19) na prática odontológica
Bibliographic record
Abstract
OBJETIVO: Descrever os principais desafios enfrentados na prática odontológica acerca dos métodos de prevenção da COVID-19. MÉTODO: Trata-se de uma revisão de literatura, foram utilizados artigos nacionais e internacionais publicados no primeiro semestre de 2020, indexados nas plataformas MEDLINE, LILACS e BBO. Para seleção dos artigos utilizou-se os descritores "COVID-19" e "Odontologia", resultando em uma amostra de 5 artigos. RESULTADOS: Considerando o ambiente de trabalho, as práticas e instrumentos utilizados pelos cirurgiões-dentistas, são profissionais constantemente expostos a riscos biológicos. As medidas de proteção utilizadas antes da pandemia, não são totalmente eficazes para impedir a contaminação por COVID-19, causando apreensão nos profissionais, e a necessidade de adquirirem conhecimento sobre as formas de prevenção e controle da Covid-19. CONCLUSíO: Os desafios incluem a qualidade das informações sobre a doença, as adaptações relativas í biossegurança, geração de protocolos, o medo e a ansiedade presentes no cotidiano dos profissionais no atual contexto sanitário.
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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 | 0.023 | 0.064 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".