{"id":"W4404024354","doi":"10.3390/machines12110773","title":"Model Predictive Control Used in Passenger Vehicles: An Overview","year":2024,"lang":"en","type":"article","venue":"Machines","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Model predictive control; Control (management); Computer science; Transport engineering; Automotive engineering; Engineering; 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":[0.0003452588,0.0007422744,0.0005717809,0.0009082499,0.0002678536,0.001339217,0.0006874186,0.001236446,0.002730292],"category_scores_gemma":[0.0006386918,0.0004433019,0.000529321,0.00156487,0.0004364113,0.001392384,0.0005953608,0.001526328,0.001147082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005387102,"about_ca_system_score_gemma":0.000655662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002982732,"about_ca_topic_score_gemma":0.001432462,"domain_scores_codex":[0.999675,0.00005944108,0.0000237158,0.00007183145,0.0001444134,0.00002558558],"domain_scores_gemma":[0.999816,0.00008473213,0.00001490606,0.00001514289,0.00005968909,0.000009503762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009427208,0.0001202926,0.0009381857,0.007352525,0.0001135066,0.0003149612,0.000293717,0.05512633,0.009399568,0.07695825,0.01691319,0.8323753],"study_design_scores_gemma":[0.000009136565,0.0003367662,0.001820136,0.002082965,0.0001089889,0.0007573857,0.000221951,0.06191107,0.007841604,0.02531897,0.8994973,0.00009360821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006201348,0.6891701,0.2605072,0.001322182,0.001240632,0.0001109118,0.0002687366,0.0008982665,0.04028058],"genre_scores_gemma":[0.1289295,0.8053536,0.04977082,0.0005804183,0.00178322,0.0001256487,0.0005336496,0.0001679048,0.01275512],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002982732,"threshold_uncertainty_score":0.009133697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635933366448521,"score_gpt":0.2488785145844609,"score_spread":0.2325191809199756,"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."}}