{"id":"W2284710274","doi":"10.1115/imece2014-39349","title":"New Identification Approach of Road Bank Angle and Road Grade","year":2014,"lang":"en","type":"article","venue":"","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Acceleration; Kinematics; Vehicle dynamics; Identification (biology); Computer science; Frame (networking); Road traffic; Engineering; Automotive engineering; Transport engineering; Physics; Telecommunications","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":[0.0002148529,0.0009284057,0.0006695106,0.001580807,0.0003254923,0.000753575,0.0007562126,0.0005190982,0.001457143],"category_scores_gemma":[0.0007943235,0.0004293407,0.0004330761,0.0005980794,0.0002680493,0.0009699913,0.0007335463,0.0008326588,0.0009295651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002537223,"about_ca_system_score_gemma":0.0005195898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002961783,"about_ca_topic_score_gemma":0.00404136,"domain_scores_codex":[0.9996635,0.00003121018,0.00002294612,0.0001276135,0.0001136768,0.00004097894],"domain_scores_gemma":[0.9995841,0.0000419422,0.00005764034,0.00003619238,0.000250109,0.00002994522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002752739,0.0002078031,0.01792715,0.0004822455,0.0001499458,0.0006489867,0.0004221509,0.09844226,0.1970716,0.01002793,0.002714675,0.6716299],"study_design_scores_gemma":[0.0000691876,0.0003611682,0.01727829,0.00007457998,0.0001485757,0.000910814,0.0003289881,0.9174634,0.04088574,0.00463236,0.01769392,0.0001530448],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0172914,0.0001603738,0.9797791,0.0000332653,0.00005961767,0.00004003235,0.00007655651,0.0004066437,0.002153036],"genre_scores_gemma":[0.6943073,0.0005796909,0.2970978,0.0000806918,0.0001331708,0.0001014102,0.0004671852,0.000126596,0.007106123],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002961783,"threshold_uncertainty_score":0.005889118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005626039083094345,"score_gpt":0.1796013624735353,"score_spread":0.1739753233904409,"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."}}