{"id":"W240334389","doi":"","title":"Using Traffic Simulation and Geographic Information Systems in Truck Route Planning","year":2011,"lang":"en","type":"article","venue":"Transportation Research Board 90th Annual MeetingTransportation Research Board","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Transport engineering; Geographic information system; Plan (archaeology); Process (computing); Traffic simulation; Computer science; Operations research; Engineering; Geography; Microsimulation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003001338,0.0006135742,0.0003885388,0.0018338,0.0007193859,0.002818097,0.0005596565,0.0006108618,0.00152808],"category_scores_gemma":[0.007492511,0.000429089,0.0004420638,0.003017292,0.001192146,0.002277303,0.001136208,0.0006062218,0.0002212904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003423654,"about_ca_system_score_gemma":0.003605908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1366996,"about_ca_topic_score_gemma":0.1248517,"domain_scores_codex":[0.9969155,0.002309317,0.00009759191,0.0001060699,0.0004747139,0.00009676359],"domain_scores_gemma":[0.9963412,0.002653683,0.0002140871,0.0001770509,0.0005193216,0.00009479846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002005857,0.0001546503,0.01508493,0.0001263546,0.0001120946,0.000102796,0.0005397392,0.8813978,0.001180804,0.02453368,0.000677702,0.07588895],"study_design_scores_gemma":[0.00005438817,0.000285837,0.006091035,0.0000954107,0.00009988825,0.00005944027,0.001000252,0.9638968,0.002654883,0.01369546,0.01197843,0.00008811669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5260159,0.001326069,0.4153829,0.001727893,0.0001198809,0.0006460539,0.0005699801,0.0009065326,0.05330475],"genre_scores_gemma":[0.8867912,0.0009560232,0.1102889,0.00005807188,0.00001846546,0.0001543101,0.0003839933,0.00005230845,0.001296679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1366996,"threshold_uncertainty_score":0.2718078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1420645502905662,"score_gpt":0.3460616353179797,"score_spread":0.2039970850274135,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}