{"id":"W4226286190","doi":"10.1109/tac.2022.3171389","title":"Nonparametric Testing for Hammerstein Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nonparametric statistics; Parametric statistics; Statistical hypothesis testing; Mathematics; Null hypothesis; Asymptotic distribution; Nonparametric regression; Applied mathematics; Semiparametric regression; Series (stratigraphy); Nonlinear system; Parametric model; Asymptotic analysis; Normality; Econometrics; Statistics; Mathematical optimization; Estimator","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003699011,0.0002067005,0.0003598155,0.0004010019,0.0004470397,0.00007740008,0.0001701333,0.00005491112,0.0001262108],"category_scores_gemma":[0.0000219702,0.0002229206,0.0001796203,0.0006913451,0.00001365678,0.00007159431,4.885306e-7,0.0002072983,0.00005731975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003034943,"about_ca_system_score_gemma":0.00003097019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006164834,"about_ca_topic_score_gemma":0.000008774157,"domain_scores_codex":[0.9985751,0.0001007623,0.0004636058,0.0002116962,0.0003084471,0.0003404106],"domain_scores_gemma":[0.9987551,0.0007541052,0.00007065465,0.000279506,0.00004492702,0.00009570993],"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":[0.00002812832,0.00005887232,0.00000324947,0.0001197535,0.0001681722,0.000002944306,0.00007156662,0.9373888,0.004668259,0.00001877191,0.0003464911,0.05712496],"study_design_scores_gemma":[0.002460691,0.0003519734,0.00001761852,0.00002184465,0.00009088713,0.00004791168,0.0002683747,0.9925259,0.0003029766,0.000008699725,0.003671755,0.0002314149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02395384,0.0002186576,0.9674423,0.00006766323,0.004094074,0.001698724,0.0001644108,0.001581397,0.0007789627],"genre_scores_gemma":[0.9954699,7.863168e-7,0.0002445427,0.00008317863,0.00006706581,0.003517607,0.000001431647,0.00006083864,0.0005546699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.971516,"threshold_uncertainty_score":0.9090439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441499495218114,"score_gpt":0.2202190577808802,"score_spread":0.2058040628286991,"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."}}