{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005801321,0.0001820563,0.0001652014,0.0001322219,0.00004076794,0.00008092498,0.0002738843,0.00009423518,0.00003467596],"category_scores_gemma":[0.000002085691,0.0001902431,0.00006028812,0.0001399936,0.00002576703,0.0002580772,0.000001115216,0.0003123438,0.0001609336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001554844,"about_ca_system_score_gemma":0.00002325912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006140222,"about_ca_topic_score_gemma":0.00009969303,"domain_scores_codex":[0.9990735,0.000016735,0.0002615419,0.0002665242,0.0001705315,0.0002111811],"domain_scores_gemma":[0.9993334,0.00007615003,0.00001491949,0.00047569,0.00002823795,0.00007159277],"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":[0.000008934087,0.0000144781,2.549459e-7,0.00003681069,0.0001081465,0.000007524304,0.00006867515,0.9826285,0.001691008,0.0000934448,0.000215186,0.01512705],"study_design_scores_gemma":[0.0003669758,0.00002385096,0.000001697234,0.00008272371,0.00008504371,0.0000144887,0.000008785173,0.9976558,0.0002600816,0.0001638125,0.001156308,0.0001804368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006854737,0.0003610167,0.9946848,0.00007025327,0.001372114,0.0002217291,0.0006210982,0.0008844402,0.001099048],"genre_scores_gemma":[0.9914615,0.0001798399,0.007074219,0.00003377216,0.00005293974,0.00003715525,0.00002037014,0.00008352879,0.001056635],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9907761,"threshold_uncertainty_score":0.7757888,"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."}}