Ultrassonografia de tórax no Covid-19 / Chest ultrasound in Covid-19
Bibliographic record
Abstract
A ultrassonografia pulmonar (USP) trata-se de um método ágil para o diagnóstico de pneumonia, sendo útil na alta demanda dos exames por imagem pulmonar gerada pela pandemia causada pelo novo coronavírus (COVID-19). Diante disso, o principal objetivo desta revisão é discorrer acerca da importância da ultrassonografia de tórax para diagnóstico de pacientes com Covid-19 presentes na literatura. A metodologia adotada para elaborar a pesquisa foi de revisão bibliográfica que busca sintetizar as principais informações dentro da temática abordada nas bases de dados como SciElo, Pubmed e Lilacs. Por meio das análises realizadas nos estudos, pode-se concluir que a Ultrassonografia de tórax é um excelente método para detectar o comprometimento pulmonar em pacientes com COVID-19 e pode ser útil nesse diagnóstico.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.025 | 0.065 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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 teacher head, 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".