{"id":"W2893533819","doi":"10.1002/aic.16426","title":"Subsystem decomposition of process networks for simultaneous distributed state estimation and control","year":2018,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Modularity (biology); Decomposition; Process (computing); State (computer science); Computer science; Nonlinear system; Control (management); Decomposition method (queueing theory); Process state; Process control; Distributed computing; Control engineering; Mathematical optimization; Engineering; Algorithm; Mathematics; Artificial intelligence","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":[0.001243968,0.001168688,0.0007298006,0.0006052194,0.0005069659,0.0006582155,0.0006366374,0.0006224909,0.002103253],"category_scores_gemma":[0.00279591,0.0004637603,0.0009507803,0.0006306851,0.0006555167,0.00108005,0.001123289,0.001058029,0.0004106718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008638671,"about_ca_system_score_gemma":0.0009596175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002411295,"about_ca_topic_score_gemma":0.002429529,"domain_scores_codex":[0.9993414,0.0002527768,0.00002903953,0.0001607026,0.0001615548,0.00005449566],"domain_scores_gemma":[0.9991977,0.0004308232,0.00008718589,0.000107304,0.0001502298,0.00002685103],"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":[0.00008752845,0.00005110859,0.0008538862,0.0001835527,0.0000769032,0.0001149612,0.00016579,0.803542,0.02186852,0.05908676,0.0008009467,0.1131681],"study_design_scores_gemma":[0.000003516376,0.00002803917,0.0001327842,0.000007548211,0.000009427195,0.00001899874,0.0000104344,0.9838254,0.001576528,0.01370546,0.0006765844,0.000005271023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002955172,0.00005774933,0.9963073,0.00002441479,0.000005014945,0.00001875261,0.00001295052,0.00006691696,0.0005518721],"genre_scores_gemma":[0.4557481,0.0003831035,0.541088,0.00006279651,0.00003246247,0.0003836882,0.000256658,0.00008750217,0.001957591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002411295,"threshold_uncertainty_score":0.00703603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003998936966921269,"score_gpt":0.2674027083796327,"score_spread":0.2634037714127114,"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."}}