{"id":"W4246430400","doi":"10.1002/047134608x.w6108.pub2","title":"<scp>DC</scp>Transformers","year":2018,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Electrical and Electronics Engineering","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Transformer; Converters; Electrical engineering; DC bias; Forward converter; Distribution transformer; Electronic engineering; Engineering; Computer science; Voltage; Boost converter","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":[0.0001948373,0.0006462024,0.0004247906,0.0009749853,0.000667595,0.002385076,0.00113428,0.0007473835,0.06215827],"category_scores_gemma":[0.0004721552,0.0002124427,0.0002404381,0.001908966,0.0007224745,0.001381182,0.000843364,0.001036729,0.03028863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000952777,"about_ca_system_score_gemma":0.0007636135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0017349,"about_ca_topic_score_gemma":0.002171115,"domain_scores_codex":[0.9995309,0.00004204521,0.00003351299,0.00006959706,0.0002804018,0.00004357312],"domain_scores_gemma":[0.9997141,0.00003110597,0.00002169626,0.00006058236,0.0001537328,0.00001875761],"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":[0.000106909,0.00003992283,0.0001865165,0.000910409,0.00001295892,0.0008950994,0.0001624698,0.002387007,0.0424545,0.2897334,0.2739434,0.3891674],"study_design_scores_gemma":[0.000007954337,0.00002103197,0.0001335042,0.0001061023,0.000005551921,0.0007785682,0.00003587368,0.003773042,0.0184508,0.01369894,0.962975,0.00001355517],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004100381,0.003986135,0.1438555,0.001150102,0.002638685,0.0002331363,0.001578555,0.003915394,0.838542],"genre_scores_gemma":[0.2297375,0.008970202,0.08946464,0.001931789,0.001584229,0.0003002335,0.004112166,0.001762838,0.6621364],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06215827,"threshold_uncertainty_score":0.2079402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002503569687151067,"score_gpt":0.1751169485265658,"score_spread":0.1726133788394147,"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."}}