{"id":"W3036209432","doi":"10.1109/wcnc45663.2020.9120734","title":"Performance Evaluation of Driving Behavior Identification Models through CAN-BUS Data","year":2020,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Identification (biology); Profiling (computer programming); Energy consumption; Data modeling; Intelligent transportation system; Variety (cybernetics); Advanced driver assistance systems; Machine learning; Artificial intelligence; Engineering; Transport engineering; Database","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":[0.0002449202,0.00006486286,0.00008860146,0.00001846995,0.00003446677,0.000005179284,0.0002942081,0.0000747025,0.00006611754],"category_scores_gemma":[0.00001932791,0.00006716942,0.00001205963,0.0001196187,0.00002572663,0.000422251,0.00006656505,0.00009391038,0.00001641506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003294403,"about_ca_system_score_gemma":0.00002594798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001099089,"about_ca_topic_score_gemma":0.0000206603,"domain_scores_codex":[0.999373,0.00001179466,0.000212104,0.000148868,0.0001631096,0.00009112124],"domain_scores_gemma":[0.9994805,0.000008382707,0.00003448161,0.0004033463,0.00005611694,0.00001716202],"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":[0.000004967585,0.00004902889,0.01146451,0.00009719092,0.00006703009,8.458426e-7,0.001887571,0.6984079,0.03937309,0.003014921,0.0008147025,0.2448182],"study_design_scores_gemma":[0.0001178352,0.000007780602,0.01894665,0.000005003435,0.00005959013,8.084241e-7,0.00006643774,0.9631677,0.01737289,0.0001460794,0.00003863847,0.00007060777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565113,0.00007981062,0.03979402,0.0001960333,0.00006338867,0.0001981153,0.00001567369,0.0003681488,0.002773541],"genre_scores_gemma":[0.9984674,0.00006164923,0.001319523,0.00001911369,0.00001594558,0.00002085212,0.00007100886,0.00001138865,0.00001312794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2647597,"threshold_uncertainty_score":0.273909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083138752043842,"score_gpt":0.28812901205705,"score_spread":0.1798151368526658,"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."}}