{"id":"W2164420219","doi":"10.1109/dsp-spe.2011.5739243","title":"On semiparametric identification of MISO Hammerstein systems","year":2011,"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 Manitoba","funders":"","keywords":"Curse of dimensionality; Univariate; Multivariate statistics; Parametric statistics; Nonparametric statistics; Nonlinear system; Computer science; Identification (biology); Representation (politics); SIGNAL (programming language); System identification; Function (biology); Algorithm; Control theory (sociology); Mathematics; Artificial intelligence; Econometrics; Statistics; Data mining; Machine learning; Physics; Measure (data warehouse)","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":[0.003240448,0.0009558279,0.00123523,0.0007993763,0.0003886361,0.001231066,0.0009022407,0.001093955,0.001715039],"category_scores_gemma":[0.01631913,0.0005081996,0.0007422133,0.0006951785,0.002391081,0.001995338,0.002383813,0.001457924,0.0003538294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007415133,"about_ca_system_score_gemma":0.0006806926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001715644,"about_ca_topic_score_gemma":0.001221573,"domain_scores_codex":[0.9980653,0.001024534,0.00006848365,0.000292097,0.0004486809,0.0001008997],"domain_scores_gemma":[0.9908937,0.007148736,0.0007788601,0.0005924227,0.000486066,0.0001000817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005323323,0.00002930653,0.0009513717,0.0001826356,0.00006674198,0.0001804378,0.0002895294,0.637274,0.002025761,0.3275868,0.0005431465,0.03081696],"study_design_scores_gemma":[0.000004031403,0.00002659831,0.0004218541,0.00002353279,0.00000743403,0.00004721072,0.0000295109,0.8867863,0.0004906133,0.1111534,0.0009813575,0.00002811912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007798624,0.0003899025,0.9894837,0.0002587597,0.00001979386,0.00001590048,0.00003382816,0.00004613548,0.001953357],"genre_scores_gemma":[0.8351377,0.00251544,0.1521454,0.0002825051,0.0002634133,0.0002132794,0.0002407946,0.00009789853,0.00910366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003240448,"threshold_uncertainty_score":0.01713735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843916313954043,"score_gpt":0.1866830867643168,"score_spread":0.1682439236247764,"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."}}