{"id":"W4280516595","doi":"10.1109/apec43599.2022.9773695","title":"Miniature Liquid Cold-plate Enabled by Metal Spraying: A Thermal Management Solution for a Modular 1 kW Bi-directional GaN-based dc-ac Converter","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Applied Power Electronics Conference and Exposition (APEC)","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Thermal conductivity; Composite material; Thermal; Thermal management of electronic devices and systems; Liquid metal; Optoelectronics; Copper; Junction temperature; Electrical engineering; Mechanical engineering; Metallurgy; Engineering","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":[0.000144073,0.0003818998,0.0002810165,0.0002290601,0.0001881462,0.0003629949,0.0007760445,0.0003325253,0.001513124],"category_scores_gemma":[0.0001653345,0.0002349252,0.0002395594,0.0001275847,0.0003003674,0.0004153585,0.0002928793,0.0006171074,0.0008236945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003414811,"about_ca_system_score_gemma":0.0002756147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003971781,"about_ca_topic_score_gemma":0.0008694789,"domain_scores_codex":[0.9998149,0.00001266374,0.000005262198,0.00004479455,0.0001028977,0.00001954512],"domain_scores_gemma":[0.9998835,0.00001315397,0.00003000191,0.0000198153,0.00003614237,0.00001734057],"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":[0.00003641561,0.00001978127,0.00007764241,0.00006063331,0.000003906897,0.00009135993,0.00003175003,0.0003675142,0.9935829,0.0002595357,0.0003797211,0.005088922],"study_design_scores_gemma":[0.0000186764,0.0002813307,0.0007793127,0.000009219728,0.000008996762,0.0003623261,0.00002267001,0.007111594,0.985181,0.00004313967,0.00616728,0.00001438434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7890513,0.001864698,0.1907924,0.0005650127,0.000434507,0.0002812402,0.0002713348,0.002491363,0.01424827],"genre_scores_gemma":[0.9179688,0.000374263,0.07167204,0.0001263075,0.0000608225,0.00008569784,0.0001068722,0.0001657384,0.009439503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001513124,"threshold_uncertainty_score":0.005061924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007712337275020566,"score_gpt":0.1948850660129403,"score_spread":0.1871727287379197,"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."}}