{"id":"W4323895121","doi":"10.1109/spec55080.2022.10058378","title":"A Novel High Step-up Voltage Gain DC-DC Converter with Low Source Current Ripple","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Ripple; Boost converter; Inductor; Ćuk converter; Duty cycle; Voltage multiplier; Converters; Forward converter; Electronic engineering; Voltage; Electrical engineering; Buck–boost converter; Diode; Voltage source; Computer science; Topology (electrical circuits); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009147207,0.0003052378,0.0002786703,0.0001177105,0.0001294439,0.00002887808,0.0002808429,0.00003637909,0.002014482],"category_scores_gemma":[0.000007185806,0.0002874068,0.00007161777,0.0002781153,0.00004744051,0.0001817502,0.0001716926,0.0004344927,0.0001135601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002584396,"about_ca_system_score_gemma":0.0000327425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001094427,"about_ca_topic_score_gemma":0.00006336194,"domain_scores_codex":[0.9984677,0.00001736429,0.0002494334,0.0003762326,0.0003926337,0.0004966334],"domain_scores_gemma":[0.9992414,0.00005912003,0.00004350503,0.0004750977,0.00003196886,0.0001489363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000169391,0.0003113995,0.0009566586,0.0003405749,0.0002861458,0.000063109,0.001891979,0.05150488,0.02510753,0.002710721,0.02783458,0.888823],"study_design_scores_gemma":[0.002185071,0.000105499,0.000152759,0.00002522804,0.00002946468,0.0000469388,0.0006484814,0.8452409,0.0009758397,0.00002916726,0.1499721,0.000588566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01235812,0.0001416254,0.9849387,0.00007481672,0.00103787,0.0003298212,0.00005985883,0.0006867595,0.0003724354],"genre_scores_gemma":[0.9919778,0.00001058951,0.002940027,0.000309834,0.00008704645,0.0001705074,0.00005706332,0.0001190084,0.004328102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9819987,"threshold_uncertainty_score":0.9999578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006936314054172061,"score_gpt":0.1967436267014242,"score_spread":0.1898073126472522,"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."}}