{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000697208,0.000456861,0.0004882665,0.0004157696,0.00002458962,0.00001381321,0.0002110154,0.0003166941,0.00007961634],"category_scores_gemma":[0.0000668853,0.0004887924,0.000103356,0.0005346689,0.00005249988,0.00009113083,0.00002332014,0.0004232278,0.00003654503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001126769,"about_ca_system_score_gemma":0.00005056934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008218421,"about_ca_topic_score_gemma":0.0000104341,"domain_scores_codex":[0.9982346,0.000008091854,0.0003236861,0.0003295094,0.0002237424,0.0008803787],"domain_scores_gemma":[0.9993959,0.0001091685,0.00005305947,0.0002111865,0.00002274957,0.0002079423],"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":[0.00001860807,0.0001336625,0.0004707313,0.001723885,0.001345081,0.0000416265,0.0004522066,0.002674589,0.0127251,0.009230164,0.3728539,0.5983304],"study_design_scores_gemma":[0.0003302018,0.0001734644,0.00003419071,0.0001254068,0.00006516315,0.00002076812,0.000004544018,0.07455641,0.0007607845,0.0001306921,0.9235157,0.0002826577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.002340593,0.06190624,0.3936296,0.00001514278,0.0008638441,0.0005703864,0.00002057011,0.002105218,0.5385484],"genre_scores_gemma":[0.1503033,0.5087392,0.02345681,0.0001496982,0.003908985,0.0003179471,0.0001332896,0.006019968,0.3069708],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5980478,"threshold_uncertainty_score":0.9997564,"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."}}