{"id":"W4396528611","doi":"10.1109/tcyb.2024.3387409","title":"Data-Driven Dynamic Internal Model Control","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Internal model; Control (management); Computer science; 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":[0.0005889586,0.0007435601,0.0007286463,0.0004019331,0.0004426839,0.0009864324,0.001642283,0.0005822884,0.002226027],"category_scores_gemma":[0.0009541788,0.0003102873,0.0006186833,0.0003669207,0.0006775038,0.0009655913,0.001650243,0.001139371,0.0005628697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005084072,"about_ca_system_score_gemma":0.0008707183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00236253,"about_ca_topic_score_gemma":0.001684929,"domain_scores_codex":[0.999585,0.00005503495,0.00002801853,0.0001099959,0.0001734149,0.00004856937],"domain_scores_gemma":[0.9995143,0.00008533365,0.00008056276,0.000110968,0.0001867531,0.000022129],"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":[0.0001592888,0.00008234463,0.0007085379,0.0003727878,0.00005954542,0.0001572084,0.0002360799,0.7386312,0.02826423,0.06423105,0.005178011,0.1619197],"study_design_scores_gemma":[0.000007770308,0.00004650807,0.00006193243,0.000007359867,0.000005487759,0.00001988518,0.000006752744,0.9917931,0.003327192,0.002409595,0.002304905,0.000009488104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003589405,0.0001052588,0.9928167,0.00007057386,0.00006458494,0.00002682015,0.00003641481,0.0005450751,0.002745116],"genre_scores_gemma":[0.8783084,0.000268759,0.1164898,0.0001858568,0.00006420114,0.0001809308,0.0003045787,0.000127729,0.004069802],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00236253,"threshold_uncertainty_score":0.007446766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338840296064883,"score_gpt":0.2475108157410655,"score_spread":0.2341224127804166,"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."}}