{"id":"W2122866227","doi":"10.1142/s0218126604001660","title":"LARGE-SIGNAL ANALYSIS AND SIMULATION OF A ZVT BOOST CONVERTER","year":2004,"lang":"en","type":"article","venue":"Journal of Circuits Systems and Computers","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spice; MATLAB; SIGNAL (programming language); Computer science; Voltage; Electronic engineering; Boost converter; Ćuk converter; Buck–boost converter; Electrical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001717169,0.0003047463,0.0003455117,0.0002517819,0.0002429487,0.0005155813,0.0004667996,0.0005392637,0.003656548],"category_scores_gemma":[0.0003949674,0.0001179874,0.0003075202,0.0002834669,0.000283425,0.0003642869,0.0001501704,0.0003821733,0.0003507957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005386991,"about_ca_system_score_gemma":0.0003236938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004021359,"about_ca_topic_score_gemma":0.002021656,"domain_scores_codex":[0.9998969,0.00002054843,0.000004497122,0.000009684544,0.00005371374,0.0000145641],"domain_scores_gemma":[0.9998409,0.0000902344,0.00001565485,0.00001190258,0.00003411663,0.000007281481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003230192,0.00005995574,0.00097017,0.0001241047,0.00003403503,0.0004720385,0.0001958859,0.939019,0.03575059,0.01058934,0.0008173152,0.01164454],"study_design_scores_gemma":[0.000008831609,0.00004215814,0.0002338448,0.000003740192,0.000004467578,0.00002646308,0.000012615,0.9953992,0.003278823,0.000609425,0.0003765899,0.000003840583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5734321,0.000348466,0.3676277,0.0005491922,0.00008184008,0.0001854068,0.0006032551,0.002319294,0.05485277],"genre_scores_gemma":[0.992227,0.00006539762,0.004981841,0.00002438388,0.000004691287,0.00003188311,0.00005825195,0.00002959871,0.002576949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004021359,"threshold_uncertainty_score":0.0122323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007572025032181251,"score_gpt":0.2099028039501136,"score_spread":0.2023307789179324,"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."}}