{"id":"W4297794706","doi":"10.5121/ijitca.2022.12301","title":"Improved Control Design for Autonomous Vehicles","year":2022,"lang":"en","type":"article","venue":"International Journal of Information Technology Control and Automation","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Control theory (sociology); Computer science; Fuzzy logic; Fuzzy control system; Control (management); Discrete time and continuous time; Control engineering; Engineering; Artificial intelligence; Mathematics","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":[0.0004492718,0.0006309325,0.0005004119,0.0003043103,0.0003165027,0.0006481913,0.0006863588,0.0006201657,0.002314496],"category_scores_gemma":[0.0006511426,0.0002448614,0.0003831869,0.0002432999,0.0003893507,0.0004741073,0.0006361091,0.0006639365,0.0004987279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004035679,"about_ca_system_score_gemma":0.0005447465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003402514,"about_ca_topic_score_gemma":0.002601481,"domain_scores_codex":[0.9996263,0.00006388206,0.0000176239,0.00008461085,0.0001712686,0.00003634121],"domain_scores_gemma":[0.9997815,0.00004500647,0.00003458877,0.00001908049,0.0001087253,0.00001115385],"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":[0.0001243313,0.00005433176,0.0003639809,0.0003285671,0.00005531836,0.0001699424,0.0002636765,0.7950788,0.03921396,0.03577259,0.001878675,0.1266958],"study_design_scores_gemma":[0.00002300556,0.0001720033,0.0001687474,0.00001305206,0.00001328958,0.00002493277,0.00001482964,0.9896387,0.002134849,0.002931,0.004857868,0.000007736515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01162789,0.0003337764,0.9822842,0.00007629707,0.0001100923,0.00003368528,0.00001696091,0.0003181714,0.005198877],"genre_scores_gemma":[0.8919929,0.0005515551,0.09660929,0.00010747,0.0001211562,0.000209876,0.00007952758,0.00004723181,0.01028098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003402514,"threshold_uncertainty_score":0.007742822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005494239887078571,"score_gpt":0.2092894310903964,"score_spread":0.2037951912033179,"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."}}