Study on the Beijing Transportation Energy Saving and Consumption Reduction under the Total Energy Consumption Restriction
Bibliographic record
Abstract
Total energy consumption and intensity in transportation industry are the critical factors to the success of future energy safety and greenhouse gas emission control. Total energy consumption in aviation transportation, pollution emission in road transportation, especially the exhaust gas emission from the private vehicles and road freight transport vehicles shall be the most crucial constraints for Beijing transportation industry to reach the energy saving and emission reduction target responsibility and obtain the air pollution governance effect in 13th Five Year Plan (2016-2020). Combining the 12th Five Year Plan period (2010-2015) analysis of transportation industry and study on energy demand prediction of private vehicles in Beijing, and after using the predict technique of a exponential growth model and the moving average method to revise the predicted result, the study predicts a quantitative range of energy consumption demand in Beijing transportation industry for the next five years, meanwhile suggested a three-level estimation of the total control of the energy consumption target in Beijing transportation industry, and proposed policy suggestions for energy saving and consumption reduction in Beijing transportation area.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".