{"id":"W2149798573","doi":"10.1109/ccece.2002.1015167","title":"Incorporating reliability index probability distributions in performance based regulation","year":2003,"lang":"en","type":"article","venue":"","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Reliability (semiconductor); Index (typography); Reliability engineering; Computer science; Probability distribution; Statistics; Mathematics; Engineering; Power (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001058207,0.0001333644,0.0001687125,0.00005077375,0.00005889857,0.00001874401,0.00008962631,0.0001017866,0.00006414275],"category_scores_gemma":[0.0003953038,0.0001252623,0.00004197405,0.0004439818,0.0000641543,0.0002539964,0.00001029345,0.000182416,0.00001753049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003814774,"about_ca_system_score_gemma":0.00006563402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003599202,"about_ca_topic_score_gemma":0.0001520101,"domain_scores_codex":[0.9988659,0.00009281318,0.0004189736,0.0002346462,0.0001342537,0.0002534303],"domain_scores_gemma":[0.9993268,0.00007674447,0.00003546734,0.0004251795,0.00007610728,0.00005964955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000136316,0.0001267465,0.5584185,0.0005252459,0.000003790876,7.547854e-7,0.00006039698,0.424627,0.0005879505,0.01456721,0.0002020299,0.0008667205],"study_design_scores_gemma":[0.0004733014,0.00002836422,0.3603926,0.00009235572,0.000002992951,0.000002384623,0.0000244891,0.6211143,0.006600641,0.008735036,0.002259286,0.0002743208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8080994,0.00001730106,0.173878,0.00006464857,0.0002226545,0.0004328417,0.000007405069,0.0002961995,0.01698155],"genre_scores_gemma":[0.9960399,0.000001303891,0.003789861,0.00001122613,0.000008537066,0.00007812194,0.00001228955,0.000009945171,0.00004881365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1980259,"threshold_uncertainty_score":0.510805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008360015138713114,"score_gpt":0.1881806932629937,"score_spread":0.1798206781242806,"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."}}