{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000314841,0.00007637225,0.00006775768,0.0001089368,0.0002107341,0.00002951283,0.0002671495,0.00000991361,0.0003045701],"category_scores_gemma":[0.000002850127,0.00007060442,0.00002677,0.000263804,0.00003495099,0.00003196138,0.00005455372,0.00007793342,0.00004010848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000048495,"about_ca_system_score_gemma":0.0000505001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004426143,"about_ca_topic_score_gemma":0.000004108854,"domain_scores_codex":[0.9992316,0.00001242164,0.00007161961,0.000178684,0.0003218784,0.000183794],"domain_scores_gemma":[0.9997501,0.00005447324,0.00001043791,0.0001311159,0.000002440047,0.00005136601],"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":[0.00005104249,0.00000965532,0.000003359687,0.00000138929,0.000002968832,0.000001892939,0.0001553468,0.964765,0.002743906,0.007429909,0.01388828,0.01094723],"study_design_scores_gemma":[0.0003778785,0.00004937251,0.000586831,0.000001159154,0.000004982477,1.790456e-7,0.0001112556,0.9669558,0.000116277,0.0005377048,0.03114695,0.000111576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5148856,0.0000968266,0.2160733,0.0025016,0.0008806775,0.0008786452,0.00001758033,0.00146255,0.2632032],"genre_scores_gemma":[0.9957095,7.804932e-7,0.002740123,0.0005255414,0.00001718835,0.00005222831,6.703929e-7,0.000006610249,0.0009473184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4808239,"threshold_uncertainty_score":0.3334829,"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."}}