{"id":"W4281561377","doi":"10.3390/app12115390","title":"A New Driver Model Based on Driver Response","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Headway; Queue; Traffic flow (computer networking); Acceleration; Simulation; Constant (computer programming); Exponent; Computer science; Microscopic traffic flow model; Traffic generation model; Control theory (sociology); Real-time computing; Computer network; Physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002926616,0.0006491341,0.0005213529,0.0004892806,0.0003141982,0.000822944,0.001673027,0.0009183166,0.003341046],"category_scores_gemma":[0.0006599526,0.0002861466,0.0006423413,0.0003159118,0.0003190299,0.001876043,0.0007150474,0.0008714425,0.0006268069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006475967,"about_ca_system_score_gemma":0.0009510861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005449662,"about_ca_topic_score_gemma":0.003075364,"domain_scores_codex":[0.9996738,0.00005326765,0.00001492073,0.00009844539,0.0001048385,0.00005465449],"domain_scores_gemma":[0.9998068,0.00004599213,0.00002643621,0.00001631231,0.00008293915,0.00002152888],"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":[0.0001002396,0.0001227958,0.003538287,0.0001380276,0.00005641637,0.0002628715,0.0001990874,0.9049768,0.01129206,0.05695004,0.003160066,0.01920319],"study_design_scores_gemma":[0.000008498173,0.00003299974,0.0002094797,0.000003424364,0.00001131564,0.00004487913,0.00001638278,0.9946052,0.000527088,0.002816853,0.001711527,0.00001229879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07091071,0.0002817507,0.9114105,0.000597461,0.0003164194,0.0001353936,0.0004973192,0.0004758409,0.01537473],"genre_scores_gemma":[0.9477684,0.0006081004,0.02673173,0.0002063257,0.0001259161,0.0002660453,0.0004622003,0.0001103527,0.02372093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005449662,"threshold_uncertainty_score":0.01117694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103973059607412,"score_gpt":0.1995550959575326,"score_spread":0.1891577899967914,"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."}}