Passing Ability Evaluation and Impact Factors Analysis of Articulated Vehicle with 6×4 Tractor
Bibliographic record
Abstract
Passing Ability of articulated vehicles is tested and analyzed, which are combined of different 6×4 tractors and different loaded semitrailers. Test methods and test procedure is designed and developed. 90 times of test data are collected in ‘3rd Swap Trailer Transport Recommended Vehicles Test’. Articulated vehicles are combined of 25 different 6×4 tractors and 21 different loaded semitrailers. Test data are statistically analyzed and passing ability is evaluated according to the requirements of GB 1589-2004. Linear regression is used to study how tractor front overhang, distance between center of tractor fifth wheel and tractor first axle and semitrailer first wheel space impact passing ability. The results can serve as both advices in improving articulated vehicle and data references in developing and amending standards.
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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 | 0.001 | 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) | 0.000 | 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".