{"id":"W3159522397","doi":"10.1109/tpel.2021.3075724","title":"A Novel Full Soft-Switching High-Gain DC/DC Converter Based on Three-Winding Coupled-Inductor","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Inductor; Voltage multiplier; Boost converter; Capacitor; Duty cycle; Electrical engineering; Converters; Ćuk converter; Voltage; Clamper; Engineering; Electronic engineering; Power factor; Voltage optimisation","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":[0.0001505688,0.000527064,0.0004360825,0.0002882434,0.000249492,0.00009047126,0.0002705212,0.0002570439,0.0004794834],"category_scores_gemma":[0.00001201285,0.0006006419,0.0002554426,0.0005532027,0.000034721,0.0003028169,0.000002218808,0.001298175,0.0001655647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009650154,"about_ca_system_score_gemma":0.0002773717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001644793,"about_ca_topic_score_gemma":0.0004012363,"domain_scores_codex":[0.9974592,0.0000336421,0.0004300372,0.0006199854,0.0004716847,0.0009854391],"domain_scores_gemma":[0.9986581,0.0002585381,0.00006400109,0.000719911,0.00009675411,0.000202735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002143688,0.0004618424,0.000008098202,0.00008295244,0.0003820498,0.00006735651,0.0003737175,0.2985067,0.6260308,0.0003531785,0.0001130908,0.07340585],"study_design_scores_gemma":[0.001804677,0.0002900782,0.00001889709,0.00009908298,0.00009129486,0.00004143933,0.00006104026,0.9086592,0.08684762,0.0001349049,0.001268235,0.0006834868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03222387,0.0001608996,0.964209,0.0003285758,0.00191544,0.0002851828,0.00004798825,0.0007110421,0.0001180649],"genre_scores_gemma":[0.9961146,0.00003653968,0.002631592,0.0007329016,0.00005617262,0.00006692464,0.0000168582,0.0001935035,0.0001509032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9638907,"threshold_uncertainty_score":0.9996445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008426509693006783,"score_gpt":0.2101657038019709,"score_spread":0.2017391941089642,"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."}}