Space Needed for Left-Turns on Arterial Roadways
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Emphasizing through traffic and neglecting left-turn traffic is mainly responsible for unreasonable road design and poor connections between arterial and local roadways.Based on a large number of cases from the typical urban roadways in the U.S.and Japan,this paper summarizes that roadway design in these countries do consider left/right turn traffic needs.The pa-per presents a methodology of calculating space needed for left-turns on arterial roadways,including two parts of space at in-tersections and roadway segments.By recognizing increasing left-turn traffic in China,the authors point out that the left-turn space should be emphasized in road design and traffic organiza-tion.Finally,through analyzing the disadvantages of current traf-fic control for left-turn traffic in China and the difference from other countries,the paper proposes traffic control for left-turns with double cross-section roadway design and odd number of cross-section design in China.
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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 | 0.001 | 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) | 0.034 | 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 it