{"id":"W2118442472","doi":"10.1109/wcica.2002.1020017","title":"An intelligent system for real-time monitoring and fault predicting","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Fault (geology); Real-time computing; Embedded system; Geology","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":[0.0007139144,0.0008295252,0.001019584,0.001609822,0.0006077028,0.001019184,0.001414792,0.0009532596,0.004206332],"category_scores_gemma":[0.001398202,0.0003359461,0.0003192742,0.0007497997,0.0003242772,0.001389916,0.0007434538,0.000636512,0.002112633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004729259,"about_ca_system_score_gemma":0.0006824125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00177623,"about_ca_topic_score_gemma":0.003027526,"domain_scores_codex":[0.9995211,0.00004471533,0.00004477583,0.0001731368,0.0001746255,0.0000414935],"domain_scores_gemma":[0.9991288,0.0002160748,0.0001157265,0.0001949979,0.0002692894,0.00007511749],"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":[0.001540412,0.0003856972,0.004246205,0.0002415285,0.0001223132,0.000288794,0.0001319024,0.01229837,0.09837559,0.002667438,0.02204513,0.8576566],"study_design_scores_gemma":[0.0002757276,0.0009707945,0.01067542,0.00005332067,0.0005436733,0.001150118,0.00005419384,0.8196437,0.1200341,0.006452442,0.03998478,0.0001617414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04221338,0.0009249511,0.9038506,0.0002746877,0.0004372004,0.0001790616,0.0007574662,0.04677801,0.004584667],"genre_scores_gemma":[0.5009751,0.0005391601,0.483983,0.0007324574,0.0003693823,0.000317581,0.001665458,0.0005000002,0.01091777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004206332,"threshold_uncertainty_score":0.01407158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481198031739427,"score_gpt":0.2765040427357328,"score_spread":0.2616920624183385,"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."}}