{"id":"W2947936799","doi":"10.1109/apec.2019.8722016","title":"An AC-DC Interleaved ZCS-PWM Boost Converter With Improved Light-Load Efficiency","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Interleaving; Converters; Boost converter; Pulse-width modulation; Computer science; Electronic engineering; Power (physics); Ćuk converter; Forward converter; Voltage; Flyback converter; Electrical engineering; Engineering; Physics","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":[0.000151419,0.0002192808,0.0003524788,0.0003396502,0.0001984832,0.0005374743,0.0006360124,0.000247959,0.002316483],"category_scores_gemma":[0.0001739913,0.0001188076,0.0002040179,0.0005196483,0.0001504689,0.0005585499,0.000222547,0.0004958114,0.0007712473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002291219,"about_ca_system_score_gemma":0.0003278864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004245719,"about_ca_topic_score_gemma":0.0006099956,"domain_scores_codex":[0.9998835,0.00001011663,0.000006584149,0.00001535955,0.00006951851,0.00001493629],"domain_scores_gemma":[0.9999251,0.00001219068,0.00000731169,0.000009765321,0.0000379427,0.000007698395],"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":[0.0004829901,0.0003101708,0.001284268,0.0004516446,0.00004660247,0.0003537147,0.00013352,0.009927605,0.5787175,0.01610622,0.002952537,0.3892332],"study_design_scores_gemma":[0.0002834779,0.0009133504,0.004951929,0.0000622279,0.0001670303,0.001933203,0.00008640453,0.2560934,0.6731305,0.006797096,0.05552021,0.00006096347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1625044,0.0009086184,0.8065764,0.000264075,0.0001821069,0.0001657378,0.0001434612,0.002234007,0.02702112],"genre_scores_gemma":[0.8791751,0.0006631141,0.104813,0.0001421359,0.00009610895,0.00006698106,0.0001920197,0.0000985643,0.01475298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002316483,"threshold_uncertainty_score":0.007749379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002642329650683442,"score_gpt":0.1839961387496134,"score_spread":0.18135380909893,"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."}}