{"id":"W2140526691","doi":"10.1109/tsmcb.2003.820595","title":"Design of a Novel Knowledge-Based Fault Detection and Isolation Scheme","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fault detection and isolation; Artificial neural network; Cluster analysis; Computer science; Scheme (mathematics); Fault (geology); Pattern recognition (psychology); Artificial intelligence; Feature (linguistics); Matching (statistics); Wavelet; Data mining; Real-time computing; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002600224,0.0003664833,0.0004325783,0.0002982107,0.0001509343,0.0001052473,0.0001020343,0.0002891392,0.000009697474],"category_scores_gemma":[0.000005515111,0.0003870572,0.00009019714,0.000298167,0.0001158428,0.0001005236,0.000001783904,0.0002937196,0.00002851907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001252049,"about_ca_system_score_gemma":0.00003686145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001698734,"about_ca_topic_score_gemma":0.0001546306,"domain_scores_codex":[0.9982952,0.00008222296,0.0006452238,0.0003768621,0.0002757344,0.0003247512],"domain_scores_gemma":[0.9991254,0.0001118011,0.0001236922,0.0003193559,0.0001248215,0.0001949384],"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":[0.0001001843,0.0002441682,0.00001332323,0.0003774317,0.0001497332,0.00000199229,0.0006974315,0.896618,0.09469186,0.0002042373,0.00002662785,0.006875003],"study_design_scores_gemma":[0.003505799,0.0004709768,0.00008911343,0.0003686573,0.0001090586,0.00005676055,0.0002636831,0.9435608,0.04876981,0.00002686041,0.002305794,0.0004727392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1139335,0.0009025816,0.8821927,0.00002113835,0.001196694,0.0007575512,0.00002614818,0.0002841218,0.0006856081],"genre_scores_gemma":[0.9982542,0.0001910944,0.0007823411,0.00001639586,0.00009794074,0.0001503313,0.000002063462,0.00007317321,0.0004324774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8843207,"threshold_uncertainty_score":0.9998581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910905282400425,"score_gpt":0.2228192705765736,"score_spread":0.2037102177525694,"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."}}