{"id":"W2108144125","doi":"10.1109/pesc.2004.1355250","title":"A front end self-sustained LLC resonant converter","year":2005,"lang":"en","type":"article","venue":"2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551)","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Front and back ends; Electrical engineering; Resonant converter; Front (military); Physics; Computer science; Electronic engineering; Converters; Engineering; Mechanical engineering; Voltage; Operating system","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":[0.0001493029,0.000193299,0.0003449674,0.0003293144,0.0002943812,0.0006300395,0.0007739825,0.0004754691,0.003872322],"category_scores_gemma":[0.0001785489,0.0001251044,0.0002645151,0.0002055197,0.0001461668,0.0004300169,0.0002395564,0.0003648413,0.001640991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001644637,"about_ca_system_score_gemma":0.000203914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002853625,"about_ca_topic_score_gemma":0.0003560742,"domain_scores_codex":[0.9997532,0.00002068394,0.00001119851,0.00004015048,0.0001530022,0.00002173758],"domain_scores_gemma":[0.9998751,0.00001558289,0.000009048579,0.00002048332,0.00006775474,0.00001212139],"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":[0.0004741591,0.0003167646,0.0007854492,0.0003027921,0.00005176912,0.0008148797,0.00017792,0.01318443,0.5878841,0.01136973,0.008316617,0.3763213],"study_design_scores_gemma":[0.000251802,0.001424852,0.002392582,0.0000702468,0.00009998375,0.004205599,0.00008272684,0.4243035,0.4832364,0.005750538,0.07809753,0.00008414836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09182768,0.0004672754,0.8686894,0.0002400404,0.000279435,0.0001346624,0.0001409657,0.007564435,0.0306562],"genre_scores_gemma":[0.8352663,0.0002261285,0.1291904,0.000332577,0.0001474451,0.00008600094,0.000214631,0.0001455523,0.0343909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003872322,"threshold_uncertainty_score":0.01295424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00584874686721472,"score_gpt":0.2150492685136096,"score_spread":0.2092005216463949,"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."}}