{"id":"W4404410792","doi":"10.1109/tase.2024.3494596","title":"Modeling of Dynamic Systems With Hysteresis Using Predictive Gradient-Based Method","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Automation Science and Engineering","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China; Scientific Education and Research Foundation; Natural Science Foundation of Shanghai","keywords":"Hysteresis; Control theory (sociology); Materials science; Computer science; Control engineering; Engineering; Physics; Artificial intelligence; Control (management)","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":[0.0003374992,0.0005616045,0.0005209029,0.0003490412,0.0002293276,0.0005494697,0.0008600685,0.0004767428,0.0009427412],"category_scores_gemma":[0.0004799824,0.000250007,0.0005453689,0.0002733511,0.0003841024,0.000845867,0.0004163198,0.0005771998,0.0001801386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000362732,"about_ca_system_score_gemma":0.0005052085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003716221,"about_ca_topic_score_gemma":0.002164522,"domain_scores_codex":[0.9998417,0.00003786388,0.000009680335,0.00003419771,0.0000614517,0.00001507015],"domain_scores_gemma":[0.9998775,0.0000470077,0.00002276782,0.0000153387,0.00003226727,0.000005105458],"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":[0.0000369974,0.00002465865,0.0006115978,0.0001341882,0.00003927064,0.00009977358,0.0001128508,0.9162554,0.01576666,0.02379409,0.0004986724,0.04262577],"study_design_scores_gemma":[0.000001380225,0.000006436966,0.00004774229,0.000001854403,0.000002537002,0.000009898156,0.000002209447,0.9980249,0.0006338549,0.0008981486,0.0003684485,0.000002702934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004733817,0.0001847162,0.9936972,0.00003747283,0.00001474257,0.00001900255,0.00001840488,0.0001841735,0.001110469],"genre_scores_gemma":[0.8145134,0.0008752309,0.1794069,0.00007024463,0.00004668221,0.000199902,0.0001214935,0.0001020316,0.004664105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003716221,"threshold_uncertainty_score":0.007389188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140853434277375,"score_gpt":0.2452316161161791,"score_spread":0.2311462726884416,"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."}}