{"id":"W2113236394","doi":"10.1109/acc.2005.1470099","title":"A cut/tie set method for reliability evaluation of control systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Reliability (semiconductor); Control reconfiguration; Reliability engineering; Tie line; Computer science; Component (thermodynamics); Set (abstract data type); Control system; Control (management); Engineering; Electric power system; Artificial intelligence; Embedded system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002346513,0.001475792,0.001139821,0.003639509,0.0007288564,0.001378859,0.001416908,0.00101495,0.005187756],"category_scores_gemma":[0.00707187,0.0005041014,0.001053952,0.001607559,0.0007392629,0.001597429,0.001004546,0.002244574,0.001125826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006259892,"about_ca_system_score_gemma":0.0005916646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085845,"about_ca_topic_score_gemma":0.0006356012,"domain_scores_codex":[0.9979029,0.0006635099,0.0001155714,0.0002540551,0.0009831642,0.00008074282],"domain_scores_gemma":[0.9973551,0.001541836,0.0001780083,0.0002319278,0.0006270626,0.00006617485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002623345,0.0001654368,0.0008497522,0.0005155074,0.0001533628,0.0001922869,0.000235636,0.2372017,0.02104015,0.1072089,0.00565066,0.6265242],"study_design_scores_gemma":[0.00002993265,0.0001987174,0.0004788552,0.00008757098,0.0000669448,0.0002485451,0.00004069238,0.9244367,0.008912529,0.05466505,0.01077789,0.00005653652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001289112,0.0001969147,0.9970271,0.00001804208,0.0000330485,0.00004519413,0.00003865891,0.0001739773,0.001177959],"genre_scores_gemma":[0.08876164,0.000521877,0.9073632,0.0000689622,0.0001012729,0.0005316288,0.0003503271,0.0002832908,0.002017863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005187756,"threshold_uncertainty_score":0.01735473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02355396221013643,"score_gpt":0.3077281215494821,"score_spread":0.2841741593393457,"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."}}