Risk-based performance analysis for regional hybrid fuel with compressed natural gas option
Why this work is in the frame
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Bibliographic record
Abstract
Compressed natural gas is widely used for transportation due to its competitive price and less environmental impacts compared with traditional gasoline. With the recent push to implement electric vehicles, it became important to evaluate the current transportation fuelling status and identify best scenarios to move towards greener transportation. This paper presents analysis of hybrid transportation with compressed natural gas as a fuelling option to determine the most effective way to implement regional green transportation. Intelligent modelling and simulation techniques are proposed to model transportation and fuelling process and used as basis for performance modelling and analysis for different scenarios. Compressed natural gas is found to be a superior fuel to gasoline based on given scenario conditions and criteria for regional green hybrid transportation. The proposed scenarios are applied on case studies in Ontario to confirm the high value of compressed natural gas as viable fuelling scenarios.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it