{"id":"W2015830867","doi":"10.1114/1.1380421","title":"Identification of Time-Varying Hammerstein Systems from Ensemble Data","year":2001,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Control Systems and Identification","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Medical Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Identification (biology); Computer science; Sampling (signal processing); System identification; Algorithm; Control theory (sociology); Mathematical optimization; Mathematics; Data mining; Artificial intelligence; Measure (data warehouse)","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":[0.0005344767,0.0001277046,0.000317168,0.0001932592,0.00001694161,0.00002790127,0.000383103,0.0001075894,0.0000285815],"category_scores_gemma":[0.0001468295,0.0001349113,0.00005496632,0.0003270775,0.00002608457,0.0002490345,0.00005555117,0.00008570428,0.00003889846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001351597,"about_ca_system_score_gemma":0.00001187422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002874863,"about_ca_topic_score_gemma":0.000001948712,"domain_scores_codex":[0.9984823,0.00001795615,0.0007639391,0.0002059351,0.0003256472,0.0002042001],"domain_scores_gemma":[0.9989293,0.0001073704,0.0001261881,0.0006563436,0.00008088419,0.00009990772],"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":[0.000006849577,0.00003275316,0.00003844807,0.0002346822,0.000149629,0.000003396496,0.00008265239,0.02650463,0.961331,0.00007736707,0.002496429,0.009042215],"study_design_scores_gemma":[0.0002001425,0.00001346677,0.0005586028,0.00020289,0.00002380563,0.000003565407,0.000026116,0.9673294,0.0220272,0.00001372267,0.009462373,0.0001386654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5834727,0.008084247,0.4048902,0.0002445582,0.001759865,0.0003990975,0.0003749287,0.0003710575,0.00040331],"genre_scores_gemma":[0.9989312,0.0003416867,0.0001213695,0.000003560706,0.0002123139,0.0000090819,0.0002708534,0.00002757804,0.00008231318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9408248,"threshold_uncertainty_score":0.5501522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03490582620816504,"score_gpt":0.2560919725292221,"score_spread":0.221186146321057,"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."}}