{"id":"W3161596920","doi":"10.1002/aic.17327","title":"Parameter estimation for nonlinear systems with multirate measurements and random delays","year":2021,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Nonlinear system; Variable (mathematics); Estimation theory; Particle filter; Maximization; Control theory (sociology); Filter (signal processing); Computer science; Mathematical optimization; Expectation–maximization algorithm; Algorithm; Mathematics; Maximum likelihood; Statistics; Control (management); Physics","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":[0.00124404,0.0008717419,0.0008556458,0.0005229777,0.0002403498,0.0007580435,0.0005625825,0.0007671396,0.000409824],"category_scores_gemma":[0.004466212,0.0004958093,0.0005779243,0.0004453978,0.0006910883,0.001139404,0.0009011956,0.001007069,0.0001270178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005070461,"about_ca_system_score_gemma":0.0006301227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003177908,"about_ca_topic_score_gemma":0.002525398,"domain_scores_codex":[0.9994141,0.0001786253,0.00003726649,0.0001398925,0.0001850959,0.00004498744],"domain_scores_gemma":[0.9985847,0.0008466391,0.0002737222,0.0001313859,0.0001411851,0.00002233977],"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":[0.0001035861,0.00002999078,0.001073189,0.00008745331,0.00007329569,0.0001011513,0.00007585232,0.930414,0.01245588,0.005581243,0.0001529185,0.04985145],"study_design_scores_gemma":[0.000005481929,0.00002141315,0.0003527344,0.00000512054,0.000006085671,0.00001752928,0.000004439813,0.9959469,0.00202943,0.001385378,0.0002160215,0.000009391208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01645523,0.0001303331,0.9829819,0.00006021828,0.00001538736,0.00001026503,0.00001553767,0.00007534705,0.000255776],"genre_scores_gemma":[0.8505282,0.0003533227,0.1475785,0.00003940315,0.00005398834,0.00005810422,0.00006871102,0.00003645228,0.001283429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003177908,"threshold_uncertainty_score":0.006579161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065890784749811,"score_gpt":0.2346250927308363,"score_spread":0.2139661848833382,"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."}}