{"id":"W4391791528","doi":"10.1109/tpel.2024.3364233","title":"A Multi-Mode Full-Bridge/Modified-Stacked- Switches Structured CLLC Resonant Converter for Energy Storage Applications","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mode (computer interface); Bridge (graph theory); Resonant converter; Energy storage; Materials science; Energy (signal processing); Half bridge; Electrical engineering; Electronic engineering; Engineering; Computer science; Capacitor; Converters; Physics; Voltage; Power (physics)","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":[0.000101975,0.0002217914,0.0002864616,0.0002253938,0.0002478111,0.0003877405,0.0008592902,0.0003155362,0.002576869],"category_scores_gemma":[0.00008268942,0.000109985,0.0002618631,0.0002719844,0.0001285664,0.0005337608,0.0002459365,0.0003269749,0.0006727445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001947877,"about_ca_system_score_gemma":0.0001641175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000237152,"about_ca_topic_score_gemma":0.0006781316,"domain_scores_codex":[0.9999075,0.000008136444,0.000005952522,0.00002412529,0.00004320827,0.00001112774],"domain_scores_gemma":[0.9999471,0.000007023153,0.000006490116,0.0000102404,0.00002297907,0.000006199873],"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":[0.0002348615,0.00008653382,0.0005283245,0.0002939088,0.00004362432,0.0002433945,0.0000830399,0.00482669,0.7977026,0.005717747,0.002752535,0.1874866],"study_design_scores_gemma":[0.0001262394,0.0008952674,0.003571482,0.0000652429,0.000162407,0.002829341,0.0001446546,0.2703018,0.6702115,0.004194352,0.04740481,0.00009285682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2593431,0.001689475,0.7082707,0.0003618526,0.000360368,0.0001638465,0.0002597594,0.003111359,0.0264394],"genre_scores_gemma":[0.8922737,0.0003233285,0.1005526,0.0002269423,0.00006953574,0.00006650459,0.0001589076,0.00007720607,0.006251199],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002576869,"threshold_uncertainty_score":0.008620441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114153927570764,"score_gpt":0.2362984427921954,"score_spread":0.224883050035119,"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."}}