{"id":"W2891491002","doi":"10.1109/isc2.2018.8656941","title":"Impact of Distributed Routing of Intelligent Vehicles on Urban Traffic","year":2018,"lang":"en","type":"article","venue":"","topic":"Traffic control and management","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Routing (electronic design automation); Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008333217,0.0005524902,0.0003410275,0.0004774761,0.0004004996,0.000812818,0.0004460878,0.0004566218,0.001081719],"category_scores_gemma":[0.003584384,0.0002387101,0.0003199738,0.0005169301,0.000664579,0.0006618624,0.0005361839,0.0003976277,0.00007203803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618407,"about_ca_system_score_gemma":0.0004538046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008556595,"about_ca_topic_score_gemma":0.008495419,"domain_scores_codex":[0.9993933,0.0002870627,0.000014589,0.00007977924,0.0001058153,0.0001194283],"domain_scores_gemma":[0.9969607,0.002193112,0.0002519045,0.0001588157,0.000292709,0.0001427176],"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":[0.0001352412,0.00005031329,0.002919369,0.00001764206,0.00002454025,0.00007960434,0.00002223472,0.9895893,0.001840627,0.000934124,0.0001112181,0.004275704],"study_design_scores_gemma":[0.00003229359,0.0003944056,0.004634967,0.000005383374,0.00004560285,0.00005014998,0.0001470779,0.9904268,0.002770344,0.001144977,0.0003343337,0.00001366907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908997,0.0001753102,0.005781581,0.0001068254,0.00001715834,0.00001318224,0.00004985103,0.00005857603,0.002897806],"genre_scores_gemma":[0.9994061,0.00003846419,0.0003497567,0.000005147197,0.000001370929,0.000002985416,0.00001839021,0.000003438239,0.0001742867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008556595,"threshold_uncertainty_score":0.01701361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029635379884795,"score_gpt":0.2286009233277485,"score_spread":0.2183045695289005,"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."}}