{"id":"W3026212220","doi":"10.1109/tpwrd.2020.2996026","title":"A New Reliability Strategy for Managing Assets of Customer Delivery Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro One (Canada)","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Probabilistic logic; Investment (military); Transmission (telecommunications); Rank (graph theory); Computer science; Simple (philosophy); Engineering; Risk analysis (engineering); Telecommunications; Business; Power (physics)","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":[0.002036219,0.001016902,0.0004995827,0.001645402,0.0008064985,0.00265859,0.001596817,0.001199207,0.003579104],"category_scores_gemma":[0.003350597,0.0002972075,0.0004047551,0.0005762978,0.001104887,0.003105451,0.001501792,0.001027988,0.00100111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001785131,"about_ca_system_score_gemma":0.001930203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002230498,"about_ca_topic_score_gemma":0.002660075,"domain_scores_codex":[0.9982681,0.0004676961,0.00008691268,0.0002197955,0.0008117769,0.0001457155],"domain_scores_gemma":[0.9985963,0.0002987276,0.0001895548,0.0001658361,0.0006314614,0.0001181581],"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":[0.00006820459,0.0001469222,0.001659714,0.0002270027,0.00006614981,0.0004820682,0.0008739786,0.1177443,0.01126253,0.5163913,0.01675114,0.3343268],"study_design_scores_gemma":[0.0001002866,0.0009272142,0.001862426,0.0002086866,0.0001210975,0.001480977,0.000948265,0.5623381,0.0121839,0.2753937,0.144279,0.0001564686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02212071,0.001147036,0.9243476,0.002925023,0.000186666,0.0002330941,0.00008239133,0.0005935934,0.04836386],"genre_scores_gemma":[0.5618159,0.001339083,0.4028091,0.0007973333,0.0003991463,0.0003756275,0.0001585095,0.000235853,0.03206943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003579104,"threshold_uncertainty_score":0.01295209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918831452552327,"score_gpt":0.2202078119650844,"score_spread":0.2010194974395611,"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."}}