{"id":"W3202907518","doi":"10.1002/cta.3117","title":"Multi‐input multi‐phase transformerless large voltage conversion ratio DC/DC converter","year":2021,"lang":"en","type":"article","venue":"International Journal of Circuit Theory and Applications","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Integrating ADC; Boost converter; Voltage; Ripple; Ćuk converter; Buck–boost converter; Electrical engineering; Capacitor; Duty cycle; Forward converter; Negative impedance converter; Topology (electrical circuits); Electronic engineering; Materials science; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002947954,0.0001606814,0.0002089782,0.0001335939,0.00008991761,0.00006350245,0.0002821246,0.00007789617,0.0003060567],"category_scores_gemma":[0.00003692863,0.0001637942,0.0001279657,0.0001071457,0.00007549403,0.0004265394,0.00002497295,0.0002655979,0.00003504048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008621855,"about_ca_system_score_gemma":0.00005869269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.300829e-7,"about_ca_topic_score_gemma":0.000003737194,"domain_scores_codex":[0.9989173,0.00004768995,0.0004532429,0.0001630107,0.0002453266,0.0001733878],"domain_scores_gemma":[0.9990007,0.0001902273,0.0001260466,0.0001540214,0.0003916142,0.000137358],"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":[0.0001285857,0.0007425892,0.0005267921,0.00009053873,0.0007354115,0.0001540035,0.001983747,0.0003129102,0.3011582,0.2792082,0.0002264417,0.4147325],"study_design_scores_gemma":[0.04648073,0.0002601902,0.00432266,0.0006580038,0.0007347987,0.00308859,0.008722154,0.1843706,0.1775976,0.07438006,0.4969256,0.002459025],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01553812,0.0007108499,0.9826604,0.00007679107,0.0004558902,0.0001552269,0.0001226092,0.00004714352,0.000233016],"genre_scores_gemma":[0.9980466,0.0004576253,0.0004532034,0.0003533927,0.0002125255,0.00002738941,0.00004972705,0.00002784809,0.0003716638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9825085,"threshold_uncertainty_score":0.6679334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252622485026191,"score_gpt":0.2734597256879417,"score_spread":0.2609335008376798,"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."}}