{"id":"W4210346844","doi":"10.1109/tte.2022.3147976","title":"Overview of Current Thermal Management of Automotive Power Electronics for Traction Purposes and Future Directions","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Thermal management of electronic devices and systems; Electronics; Power electronics; Automotive engineering; Water cooling; Heat sink; Reliability (semiconductor); Passive cooling; Automotive industry; Traction (geology); Active cooling; Power density; Electronic component; Computer cooling; Power module; Mechanical engineering; Capacitor; Electrical engineering; Power (physics); Thermal; Engineering; Aerospace engineering; Voltage; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007538904,0.0008688743,0.0006223132,0.002014887,0.0004030206,0.001652949,0.00105095,0.001136599,0.008442804],"category_scores_gemma":[0.0006818901,0.0005163613,0.0006293674,0.002025555,0.0003050225,0.002627794,0.0006292111,0.001151163,0.003491523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008131221,"about_ca_system_score_gemma":0.001182373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001187001,"about_ca_topic_score_gemma":0.001721684,"domain_scores_codex":[0.999612,0.00005070513,0.00004390466,0.00007710065,0.0001734932,0.00004287374],"domain_scores_gemma":[0.999476,0.0001643911,0.00006981866,0.0000224453,0.0002338466,0.00003351684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009305391,0.0001066134,0.0005702794,0.01244317,0.0000491834,0.0001325548,0.0001289464,0.004030759,0.01003916,0.01566092,0.0295951,0.9271502],"study_design_scores_gemma":[0.000007459229,0.0002677891,0.0009838811,0.002818478,0.00008741886,0.0005343015,0.0001397737,0.003063007,0.004499785,0.004914046,0.9826397,0.00004437576],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001924306,0.9664237,0.01062416,0.001040332,0.0008359013,0.00005721656,0.0001135123,0.0001594537,0.01882137],"genre_scores_gemma":[0.01394986,0.9646555,0.008472492,0.0005869056,0.001056519,0.00008766774,0.0003354241,0.00005444463,0.01080136],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008442804,"threshold_uncertainty_score":0.02824396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182956339981318,"score_gpt":0.2645034760570021,"score_spread":0.242673912657189,"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."}}