Níveis de alcoolemia e mortalidade por acidentes de trânsito na cidade do Rio de Janeiro
Bibliographic record
Abstract
Trata-se de estudo epidemiológico descritivo. Objetivou descrever o perfil das vítimas fatais por acidentes de trânsito na cidade do Rio de Janeiro a partir dos registros do Instituto Medico Legal e compará-los aos níveis de alcoolemia detectados através do exame laboratorial. A coleta de dados obedeceu à Resolução 196/96 do Conselho Nacional de Saúde. Os dados foram levantados no arquivo do IML, através dos registros nos prontuários de vítimas fatais por acidentes de trânsito, do universo das vítimas por todas as causas externas, e registrados a partir de um sistema de informação específico, compilados e tabulados pelo programa estatístico EPI INFO, no período compreendido entre janeiro e fevereiro de 2005. Evidenciou-se que 27,8% das vítimas fatais apresentaram alcoolemia detectada. Em 64% desses, o nível de alcoolemia foi acima de 0,6 g/L, enquanto 36% apresentaram um percentual significativo de mortalidade com níveis abaixo do limite legal estabelecido no Brasil.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".