{"id":"W1966827066","doi":"10.1007/s11044-011-9299-y","title":"Driving simulator with double-wishbone suspension using efficient block-triangularized kinematic equations","year":2012,"lang":"en","type":"article","venue":"Multibody System Dynamics","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Differential algebraic equation; Mathematics; Generalized coordinates; Equations of motion; Nonlinear system; Algebraic equation; Ordinary differential equation; Control theory (sociology); Applied mathematics; Differential equation; Computer science; Mathematical analysis; Classical mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000208272,0.0004022008,0.0005197738,0.0002499779,0.0003889292,0.0005355296,0.001145878,0.0008632311,0.006949779],"category_scores_gemma":[0.0005874915,0.0003039832,0.0003990429,0.0001936327,0.0002206642,0.0004867493,0.0007660683,0.0005207738,0.0009674481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002838544,"about_ca_system_score_gemma":0.0008424605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007828271,"about_ca_topic_score_gemma":0.007708771,"domain_scores_codex":[0.9998949,0.00001975505,0.000006882194,0.00001182048,0.00005197091,0.00001464227],"domain_scores_gemma":[0.9997815,0.00006923024,0.00002107597,0.00003361115,0.00006462039,0.00002997142],"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":[0.00007049891,0.00007751123,0.0005818751,0.00004121097,0.00002512884,0.00009479547,0.00007698598,0.9733371,0.006902078,0.00558033,0.0005319871,0.01268054],"study_design_scores_gemma":[0.000007879333,0.00001083303,0.00002789781,0.000001039518,0.000001531206,0.000004241821,0.000004359098,0.9989983,0.0004255205,0.0002113053,0.0003052468,0.000001860639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1567877,0.00004954766,0.81817,0.0001254334,0.00009335669,0.0001588558,0.0003913485,0.002673936,0.02154985],"genre_scores_gemma":[0.9010228,0.00004573936,0.09085011,0.000032765,0.00001163372,0.0001568152,0.0004545083,0.0002212192,0.007204473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007828271,"threshold_uncertainty_score":0.02324933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312258605821822,"score_gpt":0.2344197993444197,"score_spread":0.2212972132862014,"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."}}