{"id":"W3203889513","doi":"10.1016/j.aej.2021.09.056","title":"Qualitative and quantitative analysis of the reliability of NPC and ANPC power converters for aeronautical applications","year":2021,"lang":"en","type":"article","venue":"Alexandria Engineering Journal","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Converters; Reliability engineering; Reliability (semiconductor); Failure mode and effects analysis; Actuator; Engineering; Power (physics); Hazard; Computer science; 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":[0.002574487,0.0002986988,0.0002045763,0.001836621,0.000171939,0.0004177084,0.0003971811,0.0003600144,0.001538164],"category_scores_gemma":[0.008057063,0.0001397178,0.0002939174,0.0006421338,0.0007347384,0.0006191228,0.0001445685,0.0002660204,0.0001476108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005277796,"about_ca_system_score_gemma":0.0002459499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007883012,"about_ca_topic_score_gemma":0.0008136135,"domain_scores_codex":[0.9982283,0.0003830904,0.00008181761,0.0001300999,0.001091222,0.00008548905],"domain_scores_gemma":[0.9866742,0.009870618,0.0007955274,0.0006395895,0.001957655,0.00006253787],"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":[0.0007902109,0.0002871115,0.03890963,0.001572355,0.0001740827,0.0006342587,0.001256454,0.6023933,0.2012512,0.02727315,0.001294711,0.1241635],"study_design_scores_gemma":[0.00002932343,0.001430926,0.06967763,0.00009507372,0.0001009121,0.0007811431,0.0007303135,0.7628731,0.1487439,0.01270948,0.002714854,0.0001133797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7751856,0.0006025063,0.2141841,0.0001089484,0.00002712408,0.000162798,0.001187163,0.000477488,0.008064094],"genre_scores_gemma":[0.991484,0.00005494702,0.007747295,0.00000612264,0.000005345072,0.00004215249,0.0001500923,0.00001517789,0.0004948857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002574487,"threshold_uncertainty_score":0.01361537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085715943313854,"score_gpt":0.2688556749899902,"score_spread":0.2579985155568517,"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."}}