Análise do Impacto de Chuvas na Velocidade Média do Transporte Público Coletivo de Ônibus em Recife
Bibliographic record
Abstract
As condições climáticas adversas representam um fator emblemático que afeta negativamente a qualidade do transporte público, especialmente em regiões de clima tropical as chuvas são o principal evento climático deste tipo. Este artigo explora as relações entre eventos de chuva e o comportamento da velocidade média dos ônibus de transporte público na cidade do Recife. O trabalho envolve o uso de técnicas de estatística descritiva para analisar dados do itinerário, posicionamento e velocidade dos ônibus em contraste com os dados de precipitação em estações pluviométricas espalhadas pela cidade do Recife. Foram detalhadas as análises de locais conhecidos por problemas de trânsito em dias de chuva, os resultados são apresentados e discutidos no artigo.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".