{"id":"W1859387410","doi":"10.1109/pcicon.1996.564882","title":"Elements of a power systems risk analysis and reliability study","year":2002,"lang":"en","type":"article","venue":"","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Dynamics (Canada)","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Upgrade; Computer science; Power station; Power (physics); Failure rate; Risk analysis (engineering); Engineering; Electrical engineering; Business","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":[0.001671293,0.0007940998,0.0005355666,0.001714349,0.0009108016,0.002647414,0.001214944,0.001273415,0.003949565],"category_scores_gemma":[0.004171132,0.0008243172,0.0007274595,0.0009580585,0.00205158,0.003424471,0.001523986,0.002576989,0.0008311662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007942689,"about_ca_system_score_gemma":0.001208053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002284628,"about_ca_topic_score_gemma":0.0008625556,"domain_scores_codex":[0.9984081,0.0004193401,0.00007332048,0.0001263713,0.0008997415,0.00007302565],"domain_scores_gemma":[0.9971354,0.001862206,0.0001825582,0.0003101161,0.0004219586,0.00008767638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004104161,0.0001625998,0.003024748,0.0001214012,0.00007891379,0.0005588871,0.0004653484,0.2250424,0.004420069,0.7206616,0.001947972,0.04347496],"study_design_scores_gemma":[0.00001895259,0.0001516221,0.00181589,0.00010565,0.00004816943,0.0003680373,0.0003522671,0.2791885,0.002410488,0.6926187,0.02288413,0.0000376475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04163878,0.001001949,0.8826458,0.002755672,0.00006749837,0.0002493567,0.0001743043,0.0003202744,0.07114621],"genre_scores_gemma":[0.7028389,0.002227414,0.2791093,0.0003915041,0.0003209545,0.000394712,0.000202918,0.0001802484,0.01433404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003949565,"threshold_uncertainty_score":0.01321256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004936086834455799,"score_gpt":0.1903282606833397,"score_spread":0.185392173848884,"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."}}