{"id":"W3186867721","doi":"10.1109/apec42165.2021.9487075","title":"High Gain Interleaved Stacked Boost Converter","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Capacitor; Boost converter; Ripple; Ćuk converter; Buck–boost converter; Voltage; Buck converter; Forward converter; Voltage multiplier; Electrical engineering; Electronic engineering; Topology (electrical circuits); Computer science; Voltage divider; Materials science; Engineering; Dropout 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":[],"consensus_categories":[],"category_scores_codex":[0.0001155246,0.0003636339,0.0004244969,0.0003846287,0.0003550275,0.0009097461,0.0007439567,0.0003831175,0.006204864],"category_scores_gemma":[0.0001794686,0.0002578065,0.0002628707,0.000624952,0.0001535545,0.0005782777,0.0004634015,0.0006492194,0.002818725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002676394,"about_ca_system_score_gemma":0.0003475972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00052498,"about_ca_topic_score_gemma":0.0008514954,"domain_scores_codex":[0.9997887,0.00001149169,0.000007664566,0.00003090785,0.0001236176,0.00003765285],"domain_scores_gemma":[0.9999011,0.00001009486,0.000008252188,0.00001763466,0.00005220629,0.00001074013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002927945,0.0002034674,0.0008442668,0.0003180067,0.00009268363,0.0007930408,0.0001684085,0.01120177,0.7449351,0.01057996,0.005649047,0.2249215],"study_design_scores_gemma":[0.00008236161,0.0006301505,0.00328134,0.00006909928,0.0001406547,0.003343235,0.0001337005,0.1818262,0.7407986,0.009582774,0.06002079,0.00009106244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1806002,0.001353305,0.6981145,0.00035441,0.0003430932,0.0001602141,0.0005416129,0.008728719,0.109804],"genre_scores_gemma":[0.8855969,0.0004842252,0.08622965,0.0002580006,0.00008413376,0.00006292944,0.0003455943,0.0001194194,0.02681919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006204864,"threshold_uncertainty_score":0.02075738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006468032491477958,"score_gpt":0.1944868708645026,"score_spread":0.1880188383730246,"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."}}