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Record W654419559

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

2013· book· en· W654419559 on OpenAlexaboutno aff
Xinping Yan

Bibliographic record

VenueAmerican Society of Civil Engineers eBooks · 2013
Typebook
Languageen
FieldEngineering
TopicTraffic Prediction and Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsInformatizationChinaDigitizationTransport engineeringIntelligent transportation systemEngineeringThe InternetInformation technologyTelecommunicationsComputer scienceGeographyWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.966
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.003
GPT teacher head0.171
Teacher spread0.167 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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