{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001233055,0.001140684,0.001126105,0.0005762085,0.0003033084,0.000727842,0.0009475256,0.001308816,0.001590022],"category_scores_gemma":[0.003289654,0.0005666113,0.0009279122,0.0005960961,0.0006744894,0.0009148734,0.0007634647,0.001349454,0.0004748099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005729773,"about_ca_system_score_gemma":0.0007121938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003264948,"about_ca_topic_score_gemma":0.002320517,"domain_scores_codex":[0.9996411,0.0001180564,0.0000230535,0.0001080536,0.00007419963,0.00003554268],"domain_scores_gemma":[0.9987262,0.0008787813,0.0001558579,0.00006817381,0.0001496254,0.00002137516],"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":[0.0000314433,0.00001286765,0.0002056288,0.00004141386,0.00002062922,0.00003520062,0.000028519,0.9759218,0.0009082811,0.004331551,0.0001361242,0.01832662],"study_design_scores_gemma":[0.00000295403,0.000005838819,0.00003588737,0.000002480724,0.000002096703,0.000006018558,0.000002067822,0.9986044,0.0002673691,0.0009608173,0.0001071276,0.000002946366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004985665,0.0001067113,0.994155,0.00004559497,0.000009212084,0.00001302071,0.00001761876,0.000136383,0.0005307666],"genre_scores_gemma":[0.577312,0.0005530423,0.4155372,0.0001106221,0.00004773184,0.0002474273,0.0002536066,0.00009113869,0.005847157],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003264948,"threshold_uncertainty_score":0.006521106,"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."}}