{"id":"W2066795602","doi":"10.1109/ecce.2013.6646696","title":"Cycle-by-cycle average input current sensing method for LLC resonant topologies","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Network topology; Capacitor; Waveform; Lossless compression; Current (fluid); Bandwidth (computing); Computer science; Inductor; Electronic engineering; Series (stratigraphy); Topology (electrical circuits); Control theory (sociology); Voltage; Engineering; Electrical engineering; Telecommunications; Control (management); Algorithm","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":[0.0001024272,0.0002039776,0.0002252879,0.00006296966,0.00006620193,0.00004640737,0.0001309376,0.00007048679,0.0001350182],"category_scores_gemma":[0.00006960322,0.0001817196,0.00008104177,0.00008537467,0.00002899228,0.0002553149,0.00006354634,0.0001486163,0.0001076215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001007693,"about_ca_system_score_gemma":0.000008053087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000799948,"about_ca_topic_score_gemma":0.0000120935,"domain_scores_codex":[0.9989584,0.00002358986,0.0002369884,0.000245071,0.0001094346,0.0004265241],"domain_scores_gemma":[0.9993017,0.0002533057,0.0000275799,0.0002832266,0.00004535222,0.0000888862],"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":[0.000003817787,0.000008281973,0.00001521788,0.0000524343,0.00002037188,0.000001063017,0.000149646,0.002588813,0.01051769,0.0003595491,0.01307405,0.9732091],"study_design_scores_gemma":[0.0003864898,0.0000233249,0.00009381715,0.00002038112,0.000009745065,0.000005197833,0.0001179454,0.9218542,0.01207559,0.005021306,0.06008437,0.0003076378],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005676877,0.0004477928,0.9906965,0.0004121845,0.0007303078,0.0004073081,0.00001040123,0.0006790794,0.0009394985],"genre_scores_gemma":[0.5930485,0.000199375,0.4051359,0.0003909463,0.0001653302,0.00007616945,0.00002179436,0.0001049593,0.0008570194],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9729014,"threshold_uncertainty_score":0.7410311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155659642607962,"score_gpt":0.2700404780656862,"score_spread":0.2584838816396065,"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."}}