{"id":"W2316438642","doi":"10.1115/imece2003-42281","title":"Ethernet-Based Intelligent Switching of Controllers for Performance Improvement in an Industrial Plant","year":2003,"lang":"en","type":"article","venue":"","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Supervisor; Ethernet; Controller (irrigation); Control engineering; Supervisory control; Scheme (mathematics); Computer science; Industrial Ethernet; Intelligent control; Embedded system; Engineering; Control (management); Computer network; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004818312,0.0001068704,0.00022141,0.00009856874,0.00001944121,0.00001675879,0.00007437338,0.0001118054,0.00004320766],"category_scores_gemma":[0.00003039875,0.00009202077,0.00004545566,0.00008163731,0.000004160499,0.00007033026,0.000002075622,0.0001071611,0.000002631789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008585927,"about_ca_system_score_gemma":0.00004863632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006264898,"about_ca_topic_score_gemma":0.0001027372,"domain_scores_codex":[0.9991574,0.00003157767,0.0004243718,0.00009467665,0.0001075418,0.0001844319],"domain_scores_gemma":[0.9997047,0.00006170867,0.00005542784,0.0001080344,0.00002592411,0.00004419242],"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":[0.0006746768,0.0002175216,0.006328807,0.0002011088,0.0001311768,0.000001372742,0.0009591716,0.7342766,0.09846664,0.006993727,0.000447003,0.1513022],"study_design_scores_gemma":[0.005399968,0.0002747406,0.00007471511,0.00004878157,0.000007708302,2.82273e-7,0.0003427814,0.9030548,0.08811135,0.00001595686,0.002523459,0.0001454847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97841,0.00002008426,0.01819382,0.00002139594,0.0005743909,0.0009423728,0.000008013208,0.00008716613,0.001742763],"genre_scores_gemma":[0.9996223,0.000001297828,0.000127972,0.00003875568,0.00006200281,0.00009549915,0.000006526634,0.00001414065,0.00003144025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1687782,"threshold_uncertainty_score":0.3752498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03639511893760645,"score_gpt":0.2258746842718165,"score_spread":0.1894795653342101,"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."}}