{"id":"W4391306300","doi":"10.1109/rose60297.2023.10410754","title":"Behavior Replication of Cascaded Dynamic Systems Using Machine Learning","year":2023,"lang":"en","type":"article","venue":"","topic":"Adaptive Dynamic Programming Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Reinforcement learning; Reference model; Convergence (economics); Process (computing); Replicate; Sensitivity (control systems); System dynamics; Replication (statistics); Projection (relational algebra); Component (thermodynamics); Control theory (sociology); Artificial intelligence; Control (management); Algorithm; Engineering; Mathematics","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":[0.0005465582,0.00009323665,0.000160505,0.0001690256,0.00008453303,0.00005394092,0.000476537,0.00004884912,0.000001781478],"category_scores_gemma":[0.00007359577,0.00008673328,0.00005044741,0.000667236,0.00002883045,0.0002007766,0.0001988205,0.0001145658,0.0000254753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007824771,"about_ca_system_score_gemma":0.00003457429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006078108,"about_ca_topic_score_gemma":0.00002012366,"domain_scores_codex":[0.9988441,0.00008118397,0.0002620987,0.0003764085,0.0002210669,0.0002151111],"domain_scores_gemma":[0.9989485,0.00007518949,0.0001697494,0.0006653422,0.00009780008,0.00004339958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002139097,0.0002362067,0.05108001,0.0001639747,0.0001393886,0.0001121295,0.001521348,0.04557511,0.4623302,0.1299882,0.0000483705,0.3087837],"study_design_scores_gemma":[0.0001610326,0.00003696729,0.0043231,0.00001325306,0.0000109312,0.00002219885,0.00003836989,0.9948143,0.0003021968,0.00005108515,0.0001353864,0.00009114841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2378379,0.00008201567,0.7609086,0.00007763845,0.0001537973,0.0002921574,0.000001780925,0.000554873,0.00009121932],"genre_scores_gemma":[0.9829519,0.00000391875,0.01588767,0.000007952625,0.000009433793,0.00003571085,0.00001048279,0.0000115163,0.001081374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9492392,"threshold_uncertainty_score":0.3536881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078297390978076,"score_gpt":0.2995293896763795,"score_spread":0.2687464157665988,"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."}}