ICTIS 2013 : improving multimodal transportation systems - information, safety, and integration : proceedings of the second International Conference on Transportation Information and Safety : June 29 - July 2, 2013, Wuhan, China
Bibliographic record
Abstract
Proceedings of the Second International Conference on Transportation Information and Safety (ICTIS), held in Wuhan, China, June 29-July 2, 2013. Sponsored and organized by Wuhan University of Technology; Transportation & Development Institute of the American Society of Civil Engineers; China Communications and Transportation Association; and Canadian Society for Civil Engineering. This collection contains more than 330 reviewed papers examining critical issues and opportunities in transportation information and safety that influence the sustained development of China's transportation system. The systematic and multimodal application of information technologies and innovations to transportation safety management plays a crucial role in creating cost-effective, environmentally sound, and socially equitable transportation networks. Topics include: intelligent vehicles and vehicle safety technology, transportation safety and human factor engineering, traffic monitoring technology, traffic and transportation information processing, Internet of Things and transportation safety, navigation digitization and maritime informatization, shipping and ocean engineering safety, rail and air safety. Practitioners, researchers, students, and policymakers around the world will find this collection to be a great source of information on current practices in China.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.006 |
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".