{"id":"W2080447794","doi":"10.1016/j.arcontrol.2012.03.005","title":"Fault-tolerant control systems: A comparative study between active and passive approaches","year":2012,"lang":"en","type":"article","venue":"Annual Reviews in Control","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":638,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control (management); Computer science; Fault tolerance; Feature (linguistics); Control system; Control engineering; Engineering; Reliability engineering; 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":[0.001246253,0.0009513688,0.0009223185,0.001289728,0.0003529167,0.002007672,0.001143703,0.001383516,0.002408403],"category_scores_gemma":[0.003363298,0.0002444644,0.0005121434,0.001178074,0.001335629,0.00313383,0.0006050475,0.0007668644,0.0003003789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005593008,"about_ca_system_score_gemma":0.0003339518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005465009,"about_ca_topic_score_gemma":0.0003369751,"domain_scores_codex":[0.9992145,0.0002099422,0.00004379998,0.0001099961,0.0003789547,0.00004280796],"domain_scores_gemma":[0.9967641,0.002473765,0.0001960774,0.0001286066,0.0004003951,0.00003700728],"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":[0.0004528248,0.0002418467,0.001251201,0.003780468,0.0003003895,0.0001875818,0.0004751917,0.1063693,0.01316792,0.3368773,0.002325571,0.5345703],"study_design_scores_gemma":[0.0001868554,0.00488091,0.009113098,0.001687926,0.001083967,0.001824028,0.001448587,0.5080148,0.01897168,0.3730865,0.07954795,0.0001536835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.05383518,0.2110043,0.6614885,0.002135581,0.001139463,0.0001030766,0.00008174448,0.000266046,0.0699461],"genre_scores_gemma":[0.8582355,0.1016457,0.0308322,0.0004204536,0.001717122,0.0000707232,0.00008040583,0.00006637814,0.00693138],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002408403,"threshold_uncertainty_score":0.008056939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05492962346148819,"score_gpt":0.2909187954493583,"score_spread":0.2359891719878701,"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."}}