{"id":"W2560358544","doi":"10.1109/pmaps.2016.7764150","title":"Failure rate estimation of power transformers using inspection data","year":2016,"lang":"en","type":"article","venue":"","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Reliability engineering; Computer science; Failure rate; Current transformer; Transformer; Engineering; Electrical engineering; Voltage","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":[0.001741618,0.0006988998,0.000709451,0.002566034,0.0001488804,0.0005065993,0.0006596281,0.0005339847,0.0004434439],"category_scores_gemma":[0.01011884,0.0002736418,0.0004302803,0.0009204622,0.0002097337,0.0006744569,0.0003255106,0.0004545169,0.0002822434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003085745,"about_ca_system_score_gemma":0.0002376097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002536252,"about_ca_topic_score_gemma":0.00129987,"domain_scores_codex":[0.9991222,0.0002592714,0.00007864127,0.00014872,0.0003380586,0.00005317168],"domain_scores_gemma":[0.994761,0.003310775,0.0005908291,0.0005113896,0.000759635,0.00006639479],"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":[0.0004997602,0.0001887651,0.1028784,0.0002067246,0.000101805,0.0003450734,0.0002877822,0.4391309,0.05851451,0.00221602,0.0005768458,0.3950534],"study_design_scores_gemma":[0.000006237653,0.0001696485,0.02031377,0.00001369505,0.00002536979,0.000228376,0.00003779421,0.9622014,0.0155555,0.0009756667,0.0004368693,0.00003576721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1851148,0.0002223245,0.812738,0.00002041025,0.000007964721,0.0000385534,0.000169147,0.00109719,0.0005915794],"genre_scores_gemma":[0.8963228,0.0001853849,0.1024741,0.000006549446,0.00001239169,0.0000421605,0.000381454,0.00006142648,0.0005137236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002566034,"threshold_uncertainty_score":0.009210646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01988829955506495,"score_gpt":0.2401692380786837,"score_spread":0.2202809385236187,"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."}}