{"id":"W2937621548","doi":"10.1109/tpel.2018.2859839","title":"Three-Dimensional Frequency-Dependent Thermal Model for Planar Transformers in <i>LLC</i> Resonant Converters","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Converters; Transformer; Thermal; Thermal conduction; Capacitance; Planar; Heat transfer; Materials science; Electronic engineering; Electrical engineering; Engineering; Mechanics; Physics; Computer science; Thermodynamics; Voltage","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":[0.000138032,0.000460631,0.0003938421,0.0002407675,0.0002814067,0.000557799,0.0008377275,0.000642315,0.001326146],"category_scores_gemma":[0.0002764938,0.0003361431,0.0007255417,0.000291124,0.0004612482,0.0008437671,0.0002768354,0.000409004,0.0004584341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000752323,"about_ca_system_score_gemma":0.0005749007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003016002,"about_ca_topic_score_gemma":0.00327298,"domain_scores_codex":[0.9998354,0.00003361299,0.000004890029,0.00003986518,0.00007118436,0.00001511485],"domain_scores_gemma":[0.9999141,0.00002310995,0.00001770742,0.00001335225,0.00002774892,0.000003952696],"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":[0.000030144,0.00002003754,0.0004780717,0.00008062208,0.00001626649,0.0001501423,0.00007388962,0.9601221,0.02039405,0.009758175,0.0005396338,0.008336932],"study_design_scores_gemma":[0.000001931187,0.00001454947,0.0001341454,0.000004161356,0.000005342094,0.00004588101,0.00001399024,0.9964509,0.001398331,0.0008583829,0.001067711,0.00000466272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05678196,0.0005784098,0.925423,0.0001789337,0.00006603841,0.00005667938,0.0001469262,0.0004764707,0.01629149],"genre_scores_gemma":[0.9501764,0.0007946079,0.03937871,0.00007952583,0.00003317439,0.0001144207,0.0001420904,0.000108427,0.009172711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003016002,"threshold_uncertainty_score":0.005996883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009758866300997468,"score_gpt":0.2193325693199074,"score_spread":0.2095737030189099,"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."}}