{"id":"W4308993051","doi":"10.1109/globconpt57482.2022.9938236","title":"International Speaker","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Victoria","funders":"","keywords":"Power electronics; Electronics; Renewable energy; Converters; Electrical engineering; Power module; Power semiconductor device; Power (physics); Computer science; Electric power; Energy transformation; Engineering; Voltage","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001042666,0.0008332621,0.0006279186,0.001003285,0.001094652,0.003402752,0.00108759,0.001890217,0.5748817],"category_scores_gemma":[0.003904933,0.0001934576,0.0004104622,0.0006412208,0.0003662586,0.00205959,0.00204297,0.002200175,0.3693506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009879576,"about_ca_system_score_gemma":0.001522395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00109663,"about_ca_topic_score_gemma":0.001728231,"domain_scores_codex":[0.9991913,0.00007373815,0.00004298763,0.0002049277,0.0003568294,0.0001301363],"domain_scores_gemma":[0.9980273,0.0001602921,0.00007129973,0.00009237691,0.001104746,0.000543998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003430488,0.00001433622,0.0001044059,0.00009370848,0.000002541284,0.0000881242,0.00004470997,0.00003468312,0.000374041,0.002517844,0.9243498,0.07234152],"study_design_scores_gemma":[0.000003246161,0.00001016665,0.0001718021,0.00004818532,0.000001696041,0.0001413508,0.00003940125,0.00002885083,0.00008200327,0.0003596896,0.9991109,0.000002768999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001745144,0.01199251,0.003321563,0.04847832,0.2418408,0.0002830733,0.003177867,0.001328615,0.6878321],"genre_scores_gemma":[0.005549182,0.004077483,0.0009495642,0.007009186,0.02196357,0.0001056286,0.001423857,0.0003798082,0.9585418],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4251183,"threshold_uncertainty_score":0.6063797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265785581259354,"score_gpt":0.2469878330152464,"score_spread":0.2343299772026529,"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."}}