{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001164865,0.000124202,0.0001506974,0.00007562608,0.00004270091,0.00006975434,0.00006977909,0.00008023078,0.00001412558],"category_scores_gemma":[0.00002311318,0.0000974607,0.00003267111,0.00007665968,0.000008843033,0.00006579463,0.000003033364,0.0000677142,0.000002535966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003228388,"about_ca_system_score_gemma":0.000008247676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006984486,"about_ca_topic_score_gemma":0.0002341564,"domain_scores_codex":[0.9994394,0.000009946321,0.0001809272,0.0001428468,0.00005755847,0.0001692871],"domain_scores_gemma":[0.999719,0.00005965427,0.00001769453,0.00009003528,0.00004493931,0.00006867415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005175222,0.0000800367,0.00006909553,0.0005152015,0.0003622663,6.461291e-7,0.0002342901,0.0579909,0.003156,0.001633522,0.009033576,0.9264069],"study_design_scores_gemma":[0.003187959,0.0002021545,0.00001282063,0.00002526322,0.00004117187,0.000004328119,0.0003511973,0.3744031,0.003496678,0.000129139,0.6179685,0.0001776618],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02046544,0.0002058364,0.9744838,0.0003267534,0.000360218,0.002359012,0.00008738563,0.0005044379,0.001207133],"genre_scores_gemma":[0.9961472,0.00001095931,0.002168612,0.0001309829,0.0003386684,0.0006522083,0.00002182105,0.00002366101,0.0005058437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9756818,"threshold_uncertainty_score":0.3974332,"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."}}