{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000219457,0.0002895625,0.0004612308,0.0001207171,0.00007746466,0.00004021301,0.0002699271,0.0001735743,0.0000779932],"category_scores_gemma":[0.00000981217,0.0002983161,0.0002917542,0.0003136368,0.00004769091,0.0003167905,0.000002031659,0.0002876792,0.0000912239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435349,"about_ca_system_score_gemma":0.00009352645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001858631,"about_ca_topic_score_gemma":0.0000166382,"domain_scores_codex":[0.9982899,0.00005237103,0.0005955221,0.0004073181,0.000264538,0.0003903306],"domain_scores_gemma":[0.9988729,0.0001967442,0.00007458719,0.0004280375,0.0001684132,0.0002593317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002849645,0.00009740669,0.0000146402,0.001228834,0.0002230026,0.000008599233,0.0006410396,0.9752321,0.00587677,0.0002060093,0.01083345,0.005353188],"study_design_scores_gemma":[0.007368461,0.002642574,0.000477975,0.001722634,0.0008433907,0.00006963578,0.003076953,0.7875634,0.09292943,0.0005143041,0.09940049,0.003390692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04319024,0.000538426,0.9504521,0.0001634187,0.002019532,0.0008211768,0.0002345548,0.0004479211,0.002132558],"genre_scores_gemma":[0.9985385,0.0001515713,0.0008012184,0.00008756301,0.00004926125,0.00007144826,0.000003557861,0.00005603427,0.0002408685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9553483,"threshold_uncertainty_score":0.9999469,"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."}}