<b>Adaptação transcultural do Family Satisfaction with Care in the Intensive Care Unit para o Brasil/Cross-cultural adaptation of the Family Satisfaction with Care in the Intensive Care Unit for Brazil<b>
Bibliographic record
Abstract
O presente estudo objetivou descrever o processo de adaptação transcultural do Family Satisfaction with Care in the Intensive Care Unit (FS-ICU 24) para o português do Brasil. Trata-se de um estudo metodológico de adaptação transcultural que percorreu as seguintes etapas: tradução do instrumento para o português do Brasil; obtenção do primeiro consenso das versões em português; avaliação da versão consenso pelo comitê de especialistas; back-translation (retro tradução); obtenção do consenso das versões em inglês e comparação com a versão original; equivalência semântica dos itens e; pré-teste. Os resultados apontaram para as equivalências semântica, idiomática e conceitual adequadas entre a versão final em português e a original em inglês, bem como para a compreensão e fácil aplicação do instrumento traduzido e adaptado para a cultura brasileira. Concluiu-se que a adaptação transcultural do FS-ICU (24) originou uma versão confiável, a qual precisará ser testada na população alvo e aprovada quanto à sua validade e confiabilidade.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".