{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001797474,0.0005202236,0.0005674969,0.0002670641,0.0002707606,0.0005608441,0.0007498272,0.000618635,0.001101416],"category_scores_gemma":[0.0002473359,0.0003923646,0.0008931856,0.0002917386,0.0002720373,0.0004862605,0.0002623901,0.0003180887,0.0003807596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004764239,"about_ca_system_score_gemma":0.0005510274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001815931,"about_ca_topic_score_gemma":0.002309159,"domain_scores_codex":[0.9998611,0.00002864248,0.000003699639,0.00002771648,0.00006267458,0.00001606313],"domain_scores_gemma":[0.9999346,0.0000168402,0.00001403704,0.00001244587,0.00001809486,0.00000394858],"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":[0.00001851268,0.00001863582,0.0003112814,0.00002577299,0.00002144037,0.00005768757,0.00002689482,0.9779795,0.01365311,0.001410982,0.0001562705,0.006319852],"study_design_scores_gemma":[0.00000161889,0.00001466253,0.00012578,0.000001182971,0.000004585882,0.000009555775,0.000003567778,0.9975084,0.001896368,0.0001679268,0.0002644958,0.000001832093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1927591,0.0003500233,0.788949,0.0001484061,0.00003631115,0.00006647709,0.0001260837,0.0006226691,0.01694193],"genre_scores_gemma":[0.9347937,0.0002605869,0.05809078,0.00002830284,0.00001377482,0.0001598849,0.0001010124,0.0001142493,0.006437738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001815931,"threshold_uncertainty_score":0.00368458,"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."}}