{"id":"W2049691667","doi":"10.1002/aic.14147","title":"FIR model identification of multirate processes with random delays using EM algorithm","year":2013,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Finite impulse response; Algorithm; Impulse response; Identification (biology); Transfer function; System identification; Impulse (physics); Computer science; Process (computing); Expectation–maximization algorithm; Engineering; Mathematics; Statistics; Maximum likelihood; Data mining; 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":[0.0001655417,0.00009015376,0.0001486943,0.00007446052,0.00006933253,0.00009005448,0.00007798358,0.00004558937,0.00001818089],"category_scores_gemma":[0.00004103954,0.00006874395,0.00003454151,0.0001417492,0.00001114518,0.0003354567,0.0000040858,0.0001374206,0.00001449868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003606435,"about_ca_system_score_gemma":0.00004309843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002240483,"about_ca_topic_score_gemma":0.00001556338,"domain_scores_codex":[0.9993027,0.00001989755,0.0003256658,0.00006394678,0.0001600106,0.0001277931],"domain_scores_gemma":[0.999342,0.00002259005,0.0001255125,0.00008487054,0.0003653305,0.0000596989],"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":[0.00002119558,0.00001644387,0.0000768734,0.00009472291,0.00009289855,0.000001541669,0.0004694172,0.8790648,0.1080284,9.708889e-7,0.0002428892,0.01188982],"study_design_scores_gemma":[0.001171494,0.00001776933,0.0001245728,0.00005677485,0.00002609718,0.00008124818,0.0002997519,0.9848349,0.01320758,0.00005048348,0.00004230393,0.00008703923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4848408,0.0003334072,0.5144081,0.000008978113,0.0001645624,0.0001267747,0.000002173814,0.00004467027,0.000070604],"genre_scores_gemma":[0.9959563,0.00004682651,0.003714709,0.00001005262,0.0001208227,0.00001331366,6.31894e-7,0.00002007211,0.0001172476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5111156,"threshold_uncertainty_score":0.2803297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009868317415425768,"score_gpt":0.2129103779129871,"score_spread":0.2030420604975614,"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."}}