{"id":"W4388720213","doi":"10.1109/iecon51785.2023.10311946","title":"MPC-Based Coordination Control of Dual Direct-Drive Permanent Magnet Motors Used in Coal Mining Belt Conveyors","year":2023,"lang":"en","type":"article","venue":"","topic":"Belt Conveyor Systems Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Dual (grammatical number); Compensation (psychology); Computer science; Control engineering; Model predictive control; Process (computing); Control theory (sociology); Belt conveyor; Engineering; Automotive engineering; Control (management); Artificial intelligence; Mechanical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003969602,0.000253926,0.0004540608,0.0005672076,0.00002392731,0.00002109716,0.0001363712,0.0001431342,0.0001197377],"category_scores_gemma":[0.00006084968,0.0002794197,0.00008266101,0.0006061351,0.00003433323,0.0001284264,0.00002194385,0.0001528711,0.00005796455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491118,"about_ca_system_score_gemma":0.00003018391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001764091,"about_ca_topic_score_gemma":0.0001495112,"domain_scores_codex":[0.9984394,0.00005698794,0.0005467985,0.0002338958,0.0003045699,0.0004183134],"domain_scores_gemma":[0.999241,0.0003107522,0.00005869054,0.0002375725,0.00005613013,0.00009588611],"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":[0.00002632306,0.00004047357,0.05570929,0.0006331981,0.0001216262,0.00008413596,0.001444933,0.851719,0.08676431,0.0002955699,0.002647249,0.0005138816],"study_design_scores_gemma":[0.002306812,0.00006392359,0.03776995,0.0001147992,0.00001969323,0.000003208249,0.0004682572,0.9414222,0.0167932,0.000002152328,0.000697658,0.0003381832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886419,0.00008403361,0.005777225,0.00007764378,0.0007908616,0.0005321494,0.00005358582,0.001037607,0.003005013],"genre_scores_gemma":[0.9990489,0.000003084334,0.0001821372,0.00001585466,0.0000562906,0.0001017496,0.00005590914,0.00007355385,0.0004624486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08970315,"threshold_uncertainty_score":0.9999658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009681850875569708,"score_gpt":0.2038715165123012,"score_spread":0.1941896656367315,"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."}}