{"id":"W4390350677","doi":"10.1016/j.isatra.2023.12.037","title":"Nonsingleton Gaussian type-3 fuzzy system with fractional order NTSMC for path tracking of autonomous cars","year":2023,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; Concordia University","funders":"","keywords":"Tracking (education); Order (exchange); Path (computing); Type (biology); Fuzzy logic; Gaussian; Computer science; Control theory (sociology); Mathematics; Artificial intelligence; Physics; Psychology; Economics; Geology; Control (management); Computer network","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":[0.00009832774,0.000131527,0.0002119415,0.0001298002,0.0001227878,0.00002833125,0.00006919168,0.00008686393,0.00001420374],"category_scores_gemma":[0.000002531179,0.0001255893,0.00008007138,0.0004252366,0.00001970968,0.0001053316,0.00000100579,0.0001171251,0.00001718554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001062463,"about_ca_system_score_gemma":0.00006002942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001793389,"about_ca_topic_score_gemma":0.000318884,"domain_scores_codex":[0.9992325,0.00001229263,0.0002386083,0.0001486126,0.0001407146,0.0002273069],"domain_scores_gemma":[0.9995654,0.0000670484,0.00004134402,0.0001561093,0.0001132701,0.00005688452],"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":[0.00004305115,0.00003770629,0.0001894996,0.0003762517,0.0002967599,0.000009123085,0.0005313588,0.9798995,0.00732278,0.001651689,0.0000934659,0.009548873],"study_design_scores_gemma":[0.000833501,0.00009775181,0.001671719,0.0001589435,0.0001010658,0.00004781624,0.001018139,0.9925807,0.0002603734,0.00002483368,0.002987357,0.0002178242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1153646,0.00008973056,0.877484,0.0001293276,0.001281677,0.0005622746,0.000257826,0.0008720135,0.00395854],"genre_scores_gemma":[0.9988937,0.00000761822,0.0005789316,0.000004806353,0.00007966804,0.00008052772,0.00002790968,0.00005382119,0.0002729507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8835292,"threshold_uncertainty_score":0.5121382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009893613255706292,"score_gpt":0.2063556068652332,"score_spread":0.1964619936095269,"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."}}