{"id":"W4381299402","doi":"10.1109/tpel.2023.3281417","title":"Thermal–Electrical Modeling and Co-Optimization of a Half-Bridge Power Module With Silver- Sintered Molybdenum Packaging","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Notation; Bridge (graph theory); Algorithm; Particle swarm optimization; Mathematics; Topology (electrical circuits); Combinatorics; Arithmetic","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":[0.00009770974,0.0002615597,0.0002743816,0.0004270006,0.00007796999,0.00003454627,0.0001669173,0.0001750986,0.00003662364],"category_scores_gemma":[0.000007076921,0.0002591654,0.00007708198,0.000699641,0.00006513092,0.000199971,0.000001535374,0.0005102381,0.00001047987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001736397,"about_ca_system_score_gemma":0.00005018404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000116861,"about_ca_topic_score_gemma":0.00001257224,"domain_scores_codex":[0.9986755,0.00002266371,0.0002709635,0.0003019392,0.0002281409,0.0005007442],"domain_scores_gemma":[0.9994165,0.00006763649,0.00004032093,0.0003537644,0.00006179266,0.00005994057],"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":[0.00003623228,0.00002874039,0.00001284927,0.00001424675,0.00009926498,0.000004151148,0.0002216669,0.795054,0.2036704,0.00003903533,0.00004402977,0.0007753882],"study_design_scores_gemma":[0.0003830069,0.0002111981,0.00002167028,0.00002746785,0.00003104319,0.00001446415,0.00007930094,0.6827417,0.3162279,0.00003720244,0.00001409503,0.0002108927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7355186,0.0003339409,0.2625648,0.00006520782,0.0001002568,0.0001859468,0.00001686799,0.001060529,0.0001537884],"genre_scores_gemma":[0.9992475,0.0003160727,0.0002432908,0.0000233521,0.000005105042,0.00003177941,0.000005929194,0.00009273403,0.00003423324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2637289,"threshold_uncertainty_score":0.9999861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266258703778104,"score_gpt":0.2258492352622629,"score_spread":0.2131866482244818,"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."}}