{"id":"W2104621993","doi":"10.1109/.2005.1467219","title":"An Intelligent Architecture for Integrated Control and Asset Management for Industrial Processes","year":2005,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Process (computing); Intelligent agent; Isolation (microbiology); Fault detection and isolation; Asset management; Agent architecture; Intelligent decision support system; Fault management; Multi-agent system; Control (management); Artificial intelligence; Engineering","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":[0.0007478477,0.0004439225,0.0003505748,0.0005350416,0.0007626555,0.001837831,0.001659047,0.0009327938,0.002778343],"category_scores_gemma":[0.0007139433,0.0002963337,0.0004363812,0.0004500283,0.0007805713,0.001666463,0.001191854,0.0008018432,0.0008963306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084359,"about_ca_system_score_gemma":0.00159129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004720488,"about_ca_topic_score_gemma":0.006697461,"domain_scores_codex":[0.9995628,0.00006004652,0.00003263901,0.0001123048,0.0001756393,0.00005653262],"domain_scores_gemma":[0.999775,0.00003034225,0.00003128876,0.00005189717,0.00007754366,0.00003382135],"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":[0.0002541528,0.000348324,0.002599068,0.0002406045,0.0001803897,0.0005871141,0.0008769088,0.3560527,0.051716,0.2358011,0.007580211,0.3437634],"study_design_scores_gemma":[0.00005961945,0.0001966064,0.0009746728,0.00004944427,0.0001253017,0.0001462605,0.0000872282,0.8779196,0.01309419,0.06999878,0.03730102,0.00004732137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01831488,0.0002826103,0.969217,0.0003825116,0.00005105772,0.00009851222,0.00003895511,0.002454152,0.009160343],"genre_scores_gemma":[0.5151802,0.0004480338,0.4752652,0.0002121248,0.00006733398,0.0002035862,0.0002095671,0.0001092471,0.008304716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004720488,"threshold_uncertainty_score":0.009386003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361175950981186,"score_gpt":0.240517350715456,"score_spread":0.2269055912056441,"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."}}