{"id":"W3040905091","doi":"10.1155/2020/7475682","title":"Risk Modeling and Quantification of a Platoon in Mixed Traffic Based on the Mass-Spring-Damper Model","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Platoon; Damper; Braking distance; Simulation; Automotive engineering; Traffic flow (computer networking); Control theory (sociology); Engineering; Energy (signal processing); Computer science; Control engineering; Brake; Control (management); Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001580311,0.00007781725,0.0001429641,0.00007670671,0.00001572575,0.000006267848,0.00005597968,0.00002597927,0.000001559225],"category_scores_gemma":[0.00001460872,0.00006122951,0.00005115853,0.0001039253,0.000007441832,0.0001238102,3.942498e-7,0.0001517768,2.194643e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000158965,"about_ca_system_score_gemma":0.0000102388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001704477,"about_ca_topic_score_gemma":0.0000423012,"domain_scores_codex":[0.9993152,0.00001301954,0.0003791252,0.00007272994,0.0001482434,0.00007165066],"domain_scores_gemma":[0.9997119,0.00004302438,0.0001176359,0.00005685961,0.00003771588,0.00003284978],"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":[0.0001343646,0.00001686435,0.0001140807,0.00005139677,0.00001448147,0.000001750468,0.000859359,0.9813176,0.009629717,0.000211275,0.00000190534,0.00764717],"study_design_scores_gemma":[0.0009461215,0.00005202764,0.01745828,0.00005629816,0.00003530138,8.069341e-8,0.0002941433,0.9806094,0.0003925423,0.0000821068,0.00001668743,0.00005705475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6727432,0.00009642728,0.3267621,0.0002461612,0.00003753639,0.00008932546,0.000004576789,0.00001378963,0.000006878771],"genre_scores_gemma":[0.9958675,0.0001870145,0.003885468,0.00002783844,0.00001357464,0.000004081182,0.000002561468,0.00001155112,4.245876e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3231243,"threshold_uncertainty_score":0.2496867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369005183118787,"score_gpt":0.2035443060329585,"score_spread":0.1898542542017706,"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."}}