{"id":"W4361282824","doi":"10.1016/j.conengprac.2023.105489","title":"Real-time predictive clunk control using a reference governor","year":2023,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Torque; Controller (irrigation); Robustness (evolution); Control theory (sociology); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007755384,0.0003298527,0.0004902055,0.0001616807,0.00007885708,0.00008938198,0.0002474614,0.0001875022,0.0000405926],"category_scores_gemma":[0.001153826,0.0003461807,0.00008930624,0.0004811088,0.00001976615,0.0004492741,0.00002532966,0.0003562006,0.0008660991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002271666,"about_ca_system_score_gemma":0.00005063528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001348283,"about_ca_topic_score_gemma":0.000001344578,"domain_scores_codex":[0.9981631,0.00009367026,0.000469579,0.000287571,0.000386521,0.0005995657],"domain_scores_gemma":[0.9974068,0.001734224,0.0001092397,0.0004355981,0.0001142897,0.0001997814],"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":[0.00005283022,0.00001180225,0.00002413151,0.0001173793,0.0003202345,0.00005869536,0.0002635381,0.9787878,0.01848726,0.0001777013,0.001231437,0.0004672071],"study_design_scores_gemma":[0.00143293,0.00004871931,0.0005356022,0.0001203855,0.0001737801,0.00007490205,0.00008791694,0.9657287,0.00004156527,0.000006213883,0.031415,0.0003342847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03501649,0.0007583827,0.8967184,0.0007016217,0.002961338,0.001907357,0.0003347554,0.009066945,0.05253475],"genre_scores_gemma":[0.9978289,0.0001278791,0.0009169586,0.00006030139,0.0003959599,0.000107409,0.00001448773,0.0001217724,0.0004263557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9628124,"threshold_uncertainty_score":0.9999118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227221995028263,"score_gpt":0.2348638886247372,"score_spread":0.2225916686744545,"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."}}