{"id":"W4242808334","doi":"10.1504/ijaac.2018.092849","title":"Development of control strategies of a multi-wheeled combat vehicle","year":2018,"lang":"en","type":"article","venue":"International Journal of Automation and Control","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Axle; Control theory (sociology); Yaw; Feed forward; Engineering; Controller (irrigation); Torque; Automobile handling; Vehicle dynamics; Automotive engineering; Reduction (mathematics); Active steering; Control engineering; Computer science; Control (management); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002229119,0.0005417836,0.0002547355,0.0003015832,0.0002657424,0.0004781505,0.0005854674,0.0003906657,0.001587975],"category_scores_gemma":[0.0002624874,0.0001836977,0.0002462009,0.0001046242,0.0002645015,0.0002813782,0.0005000877,0.0003443883,0.0003576652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002482987,"about_ca_system_score_gemma":0.000475621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003287258,"about_ca_topic_score_gemma":0.002312834,"domain_scores_codex":[0.9998751,0.00001954834,0.000006968635,0.00002723467,0.00005272579,0.00001859137],"domain_scores_gemma":[0.9998918,0.00001696032,0.00002024981,0.000009319459,0.00005032405,0.00001142204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001476866,0.00008657922,0.0009415782,0.0003758819,0.00005375929,0.0004367293,0.000272997,0.6605378,0.11692,0.01811896,0.001325873,0.200782],"study_design_scores_gemma":[0.00001965532,0.0003041659,0.0004989797,0.00002299919,0.00001277922,0.00007529273,0.00004236028,0.9823509,0.01003228,0.001366405,0.00526388,0.00001037713],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04668824,0.0004897276,0.943089,0.0001142225,0.00008317001,0.00012299,0.00003118846,0.000422782,0.008958665],"genre_scores_gemma":[0.8987832,0.0004050914,0.09365231,0.00004448247,0.00003236893,0.0001711417,0.00006636406,0.000024342,0.006820609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003287258,"threshold_uncertainty_score":0.006536245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006255325502217356,"score_gpt":0.2310668403387888,"score_spread":0.2248115148365714,"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."}}