{"id":"W2137048182","doi":"10.1109/ccece.2003.1226243","title":"Closed-loop system identification using subspace-based methods","year":2004,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Subspace topology; Identification (biology); White noise; Closed loop; System identification; Noise (video); Computer science; Control theory (sociology); State space; Process (computing); State-space representation; Loop (graph theory); Input/output; Algorithm; Mathematics; Artificial intelligence; Control engineering; Data mining; Engineering; Control (management); Statistics","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":[0.0005000756,0.0001242727,0.0001654297,0.0001357131,0.00007994776,0.0001248107,0.0001081333,0.00008020989,0.00001771066],"category_scores_gemma":[0.00001795301,0.0001241149,0.00007492079,0.0002514607,0.0000111511,0.000167433,0.000006288402,0.00006564854,0.0001122855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003796127,"about_ca_system_score_gemma":0.00002915838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003641243,"about_ca_topic_score_gemma":0.00005881369,"domain_scores_codex":[0.9990867,0.00005112083,0.0003621394,0.000180968,0.000143054,0.0001759747],"domain_scores_gemma":[0.9994196,0.00002484428,0.00006106744,0.0003563783,0.00007875175,0.00005939896],"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":[0.000003609034,0.00001606972,0.0001023794,0.0002603377,0.00003384007,0.000001676046,0.00008291301,0.162237,0.8218557,0.009423639,0.0000957446,0.005887064],"study_design_scores_gemma":[0.0008104902,0.000007900497,0.00346862,0.0001091908,0.00005674957,0.000007753291,0.0003024219,0.801526,0.1924654,0.000113799,0.0008490154,0.0002827204],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.196722,0.0002250287,0.7999067,0.00004324784,0.0008386473,0.0002630835,0.000002529126,0.0006349087,0.001363791],"genre_scores_gemma":[0.9834667,0.000002134153,0.01606363,0.0000074215,0.0001122058,0.00003029154,0.00001051755,0.00003227772,0.0002748113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7867447,"threshold_uncertainty_score":0.5061257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129703442518185,"score_gpt":0.2822375943622603,"score_spread":0.2609405599370784,"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."}}