Análise da legislação sobre o transporte de produtos perigosos
Bibliographic record
Abstract
Resumo Este trabalho tem o objetivo de apresentar a regulamentacao do transporte terrestre de produtos perigosos vigente no Brasil e alguns casos no exterior. Foi dado enfoque na movimentacao, itinerario e na infra-estrutura criada para o funcionamento do servico. Primeiramente, foi apresentada a definicao de produtos perigosos. Em seguida, e apresentada a classificacao conforme as recomendacoes da ONU para o transporte dos mesmos. Foram abordadas as legislacoes federais, estaduais e municipais brasileiras. Estao presentes neste trabalho os casos da Inglaterra, Estados Unidos e Canada. Finalmente, foi feita uma analise da legislacao apresentada e foram propostas algumas melhorias. Abstract This work has the purpose of showing the Brazilian regulation, and also from other countries, concerning to transportation of dangerous goods. Has been given an approach on the movement, route and infrastructure created to make the service works. At first, the definition of dangerous goods was showed. Next, this work presents the classification according to ONU settings about the transportation of dangerous goods. Federal, State and Municipal Brazilian legislation were broached. Appears in this work England, United States and Canada cases. At last, an analysis about the mentioned regulation was done and some improvements were proposed.
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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 | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".