{"id":"W3183157162","doi":"10.1109/apec42165.2021.9487378","title":"Multi-Variable Hybrid Switching Frequency- Duty Cycle Based Phase-Shift Control for DC-DC Resonant Converters","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Duty cycle; Converters; Control theory (sociology); Variable (mathematics); Voltage; Power (physics); Control variable; Computer science; Automatic frequency control; Control (management); Topology (electrical circuits); Electrical engineering; Engineering; Physics; Mathematics; Telecommunications","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"],"consensus_categories":[],"category_scores_codex":[0.0002384145,0.0003994661,0.0005240177,0.0001030755,0.0001561339,0.00008614573,0.0002678334,0.0001082534,0.0005344944],"category_scores_gemma":[0.0001948594,0.0004139169,0.0002028221,0.0001994014,0.0000360122,0.0003966647,0.00003138999,0.0002749553,0.00006271894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002250954,"about_ca_system_score_gemma":0.0001463885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007833445,"about_ca_topic_score_gemma":0.00007692267,"domain_scores_codex":[0.9978589,0.00004820029,0.0005216697,0.0005559443,0.0002379956,0.0007772431],"domain_scores_gemma":[0.998541,0.000404691,0.00006643059,0.0006145563,0.0001210188,0.0002523159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002479358,0.0005451418,0.0006627867,0.0006334647,0.000601906,0.0003695566,0.0004921829,0.02600577,0.8152553,0.002861236,0.00257668,0.149748],"study_design_scores_gemma":[0.01018181,0.00005562937,0.00007197846,0.00006830777,0.00006931142,0.00001313795,0.0001232166,0.9528998,0.03010294,0.0006311345,0.005240612,0.0005421337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008442206,0.0003633281,0.9878067,0.0003413018,0.0009581059,0.0006065957,0.0001954653,0.0008121825,0.0004741341],"genre_scores_gemma":[0.8616238,0.00001150532,0.1364026,0.001298466,0.0000942337,0.0001537926,0.00009263257,0.0001177502,0.0002052743],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.926894,"threshold_uncertainty_score":0.9998313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118274139962889,"score_gpt":0.240202450818254,"score_spread":0.2290197094186251,"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."}}