{"id":"W2964632296","doi":"10.1109/compel.2019.8769646","title":"Thermal Analysis of Power Module Packaging Using Power-System-in-Inductor (PSI<sup>2</sup>) Technology","year":2019,"lang":"en","type":"article","venue":"","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Inductor; Power (physics); Topology (electrical circuits); Physics; Electrical engineering; Computer science; Materials science; Thermodynamics; Engineering","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":[0.0002049821,0.0003314475,0.0008330396,0.002486542,0.0000219826,0.00002448251,0.0005555033,0.000447209,0.0004880298],"category_scores_gemma":[0.00005511828,0.0003174872,0.0002173431,0.002997448,0.0001015639,0.0002509675,0.0001578002,0.0003929085,0.00006322522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003138073,"about_ca_system_score_gemma":0.00002659094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009706781,"about_ca_topic_score_gemma":0.00001488231,"domain_scores_codex":[0.9981168,0.00002659834,0.0005988564,0.0004425611,0.00024932,0.0005658847],"domain_scores_gemma":[0.9986178,0.00006921536,0.00009643352,0.001090051,0.00008113233,0.00004532451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003554649,0.0000166887,0.1083786,0.00004743583,0.0005493989,0.00001015384,0.0002331926,0.2012353,0.6877903,0.001453571,0.00001713362,0.0002645807],"study_design_scores_gemma":[0.0005119175,0.00004872868,0.008406885,0.00008748581,0.0002215573,0.00001252131,0.009076966,0.6662158,0.3147442,0.0000454759,0.00006790173,0.0005605703],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921157,0.0004209568,0.0001343548,0.00003276435,0.0002517987,0.0002839128,0.00001674334,0.001611065,0.005132663],"genre_scores_gemma":[0.9990011,0.000004759969,0.0008314869,0.00001269628,0.0000103575,0.00001032629,0.000003697506,0.00006857358,0.00005699541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4649805,"threshold_uncertainty_score":0.9999277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00970182972319259,"score_gpt":0.2187683443245779,"score_spread":0.2090665146013853,"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."}}