{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003529162,0.0004714704,0.0005698895,0.002923551,0.0004995635,0.0002096574,0.000421563,0.0004773432,0.00008199539],"category_scores_gemma":[0.0001387583,0.0005184264,0.0001277002,0.002523195,0.0006181856,0.002072935,0.000007294378,0.00177695,0.00002946498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002331454,"about_ca_system_score_gemma":0.0002188955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007732226,"about_ca_topic_score_gemma":0.003985973,"domain_scores_codex":[0.9934567,0.0004572148,0.001593159,0.000630915,0.002274616,0.001587437],"domain_scores_gemma":[0.9968272,0.0005461075,0.0001354796,0.0004146884,0.00140927,0.0006672422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004915831,0.0001124917,0.1806387,0.0009850736,0.00007665304,0.0001710317,0.02307067,0.7891222,0.0002500522,0.003147768,0.0001043029,0.001829534],"study_design_scores_gemma":[0.001821443,0.0003007921,0.7196383,0.0005053635,0.00004871518,0.00000133759,0.00959525,0.2629831,0.000160079,0.0004000654,0.003849985,0.0006955441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867222,0.0009576484,0.007646556,0.00002508504,0.0002973329,0.001690971,0.0003939301,0.0004666324,0.001799611],"genre_scores_gemma":[0.99653,0.0003592658,0.002170427,0.00001723008,0.00009561238,0.0002044441,0.0004920563,0.00009712183,0.00003381905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5389996,"threshold_uncertainty_score":0.9997267,"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."}}