{"id":"W2136773054","doi":"10.1002/cjce.20555","title":"Robust distributed model predictive control: A review and recent developments","year":2011,"lang":"en","type":"review","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Robustness (evolution); Computer science; Model predictive control; Mathematical optimization; Control (management); Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002775367,0.0003561031,0.001280741,0.0001330801,0.00003611131,0.00003100884,0.0003462113,0.000199078,0.000008296283],"category_scores_gemma":[0.0002573186,0.0002635976,0.0001485171,0.0002320068,0.00003219406,0.0001132747,0.00001341582,0.000696449,0.000001877049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007855459,"about_ca_system_score_gemma":0.0005202921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001746729,"about_ca_topic_score_gemma":0.00001455814,"domain_scores_codex":[0.9985971,0.00002397259,0.0007956208,0.000121524,0.0001181997,0.0003436242],"domain_scores_gemma":[0.9988807,0.00006966053,0.000241638,0.0001785452,0.0001617576,0.0004676386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003316686,0.00000316194,3.453807e-7,0.01761614,0.0009299557,0.000025181,0.00006073008,0.8901622,0.000005462367,0.0001271388,0.0008576869,0.09020868],"study_design_scores_gemma":[0.0005735676,0.00001835345,4.23094e-7,0.04812815,0.002981915,0.0007433859,0.000001445467,0.2549849,0.000008107249,0.00004188215,0.6917615,0.0007563668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[3.528129e-7,0.8982892,0.1009273,0.00002373588,0.0001573434,0.0004096121,0.0001001909,0.0000310957,0.00006115736],"genre_scores_gemma":[0.0003290691,0.9979838,0.001410341,0.00002675851,0.00009541069,0.00003887702,0.00002533714,0.00008520389,0.000005208854],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6909038,"threshold_uncertainty_score":0.9999816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02502046211255663,"score_gpt":0.2086675617148783,"score_spread":0.1836470996023217,"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."}}