{"id":"W3136710252","doi":"10.1007/s43236-021-00228-6","title":"Power electronic converter reliability and prognosis review focusing on power switch module failures","year":2021,"lang":"en","type":"article","venue":"Journal of Power Electronics","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability (semiconductor); Power electronics; Reliability engineering; Converters; Physics of failure; Accelerated life testing; Electronics; Engineering; Power (physics); Electronic component; Electrical engineering; Electric power system; Process (computing); Computer science; Voltage","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006078217,0.0003503248,0.000674807,0.0001704408,0.00005591119,0.00007694199,0.0003211177,0.0002282564,0.0002591844],"category_scores_gemma":[0.0004989441,0.0003102779,0.0002556021,0.0004097142,0.00007705513,0.0003410079,0.00006974149,0.001400208,0.00001171185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006129798,"about_ca_system_score_gemma":0.0003324433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001379491,"about_ca_topic_score_gemma":0.000007372088,"domain_scores_codex":[0.9976639,0.00008205924,0.0007323812,0.0003233675,0.0004347151,0.0007635744],"domain_scores_gemma":[0.9986229,0.0001341038,0.0002243783,0.0005145386,0.0003887647,0.000115341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002061001,0.00067665,0.004833937,0.001687947,0.001899787,0.0004267932,0.0008911905,0.0007033881,0.888669,0.01140795,0.07386917,0.01472816],"study_design_scores_gemma":[0.002543534,0.003151541,0.002996167,0.003287456,0.000482618,0.002609948,0.0005921228,0.001139801,0.6990677,0.009170473,0.2731293,0.001829318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8283399,0.1674755,0.0001424789,0.00269937,0.0003870739,0.0002162347,0.00000331975,0.0001736824,0.0005624258],"genre_scores_gemma":[0.9768767,0.02216992,0.0002109243,0.0005929754,0.00003338176,0.000007705258,0.000001361325,0.00006944896,0.00003758786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1992601,"threshold_uncertainty_score":0.9999349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006321349117347245,"score_gpt":0.2263989234009857,"score_spread":0.2200775742836384,"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."}}