{"id":"W2107048106","doi":"10.1109/acc.2003.1244106","title":"A direct approach to closed-loop identification of Wiener models using subspace-based methods","year":2004,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Subspace topology; Cascade; Control theory (sociology); Multivariable calculus; Nonlinear system; Closed loop; State space; Linear system; System identification; Linearity; Computer science; State-space representation; Mathematics; Algorithm; Control engineering; Engineering; Data modeling; Artificial intelligence; Electronic engineering; Mathematical analysis","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":[0.0005709682,0.0001182281,0.0002128003,0.0001864716,0.00003576474,0.00004826073,0.0001171879,0.00006529372,0.000004545804],"category_scores_gemma":[0.0000244106,0.0001146061,0.00007721039,0.0003772753,0.00001139402,0.0002023012,0.000009881665,0.00004359788,0.000006412296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001296875,"about_ca_system_score_gemma":0.00002690515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004687045,"about_ca_topic_score_gemma":0.00002757109,"domain_scores_codex":[0.9990295,0.00004823329,0.0004005836,0.00020537,0.0001603462,0.0001559794],"domain_scores_gemma":[0.9993859,0.00002109785,0.00006380284,0.000365755,0.000100869,0.00006260884],"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":[0.000003012885,0.00002442677,0.000005873891,0.00004430787,0.00001368778,4.53503e-8,0.0001209415,0.5853837,0.4110783,0.001986405,0.00002011009,0.001319148],"study_design_scores_gemma":[0.0002760415,0.000005568373,0.0002419482,0.00001935265,0.00002404081,6.695613e-7,0.00004908371,0.7732713,0.2256654,0.0002653394,0.00006170705,0.0001195629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1319738,0.0001311275,0.8625726,0.0000227562,0.0001779262,0.0003451703,0.000004551478,0.0001556807,0.004616414],"genre_scores_gemma":[0.9255559,0.00000240146,0.0740709,0.00001012857,0.00003771813,0.00004739261,0.000008429318,0.00002732152,0.0002397801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7935821,"threshold_uncertainty_score":0.46735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04135683122242269,"score_gpt":0.2860360654148396,"score_spread":0.2446792341924169,"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."}}