{"id":"W3156278252","doi":"10.1016/j.ifacol.2020.12.2573","title":"Longitudinal and lateral control for four wheel steering vehicles","year":2020,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Torque steering; Torque; Controller (irrigation); Control theory (sociology); Automotive engineering; Trajectory; Steering wheel; Vehicle dynamics; Nonlinear system; Computer science; Tracking (education); Stability (learning theory); Control (management); Tire balance; Automobile handling; Control engineering; Engineering; Artificial intelligence; Physics","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":[0.00006410755,0.000198975,0.000286505,0.00003115256,0.00006241997,0.00005586628,0.0001046752,0.00007656816,0.00001684084],"category_scores_gemma":[0.00003557774,0.0001922548,0.00008958521,0.00005369168,0.00002280265,0.0001295956,0.00002579012,0.0001350148,0.000009513613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002224669,"about_ca_system_score_gemma":0.000009006653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009924552,"about_ca_topic_score_gemma":0.00004683019,"domain_scores_codex":[0.9991678,0.000007536611,0.0001933196,0.000228433,0.0001010096,0.0003019202],"domain_scores_gemma":[0.9995783,0.00009346397,0.00002306185,0.00009933391,0.0000328887,0.0001729635],"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":[0.001371898,0.0001253866,0.03232111,0.001638844,0.001166211,0.0002058657,0.001855583,0.5024073,0.2460781,0.001407849,0.0001871709,0.2112347],"study_design_scores_gemma":[0.002735501,0.0001257457,0.0139407,0.00002660232,0.00005464345,0.00001178052,0.00003165445,0.9816267,0.00008067099,0.0000452235,0.001056862,0.0002639524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9235469,0.00197727,0.06831986,0.004153247,0.0003131562,0.0006218334,0.0002554361,0.0005741137,0.0002382188],"genre_scores_gemma":[0.9717537,0.00006256378,0.0272089,0.0003541391,0.0004535301,0.00003935647,0.00001783246,0.00004430463,0.00006570177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4792194,"threshold_uncertainty_score":0.7839921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654870649132423,"score_gpt":0.2067888265811165,"score_spread":0.1902401200897923,"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."}}