{"id":"W4400945646","doi":"10.1109/itec60657.2024.10598916","title":"Design Optimization of a Multi-Level Converter Supercapacitor System for Electrochemical Impedance Spectroscopy in EV Fast-Charging Stations","year":2024,"lang":"en","type":"article","venue":"","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Supercapacitor; Dielectric spectroscopy; Electrical impedance; Electrochemistry; Materials science; Electrical engineering; Electronic engineering; Optoelectronics; Computer science; Electrode; Engineering; Chemistry","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":[0.0002356435,0.0005400072,0.0003851582,0.0002602155,0.0003129838,0.0006676323,0.0007286654,0.0003730712,0.002276295],"category_scores_gemma":[0.0003156222,0.0003145117,0.0003852777,0.0002416969,0.0001943382,0.0004445272,0.0003698697,0.0003930143,0.000356072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005651125,"about_ca_system_score_gemma":0.0007332227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001338607,"about_ca_topic_score_gemma":0.002400172,"domain_scores_codex":[0.9998093,0.00003036677,0.000008311509,0.00003720717,0.0000886495,0.00002609402],"domain_scores_gemma":[0.9998991,0.00002553461,0.00001928557,0.00001005801,0.0000381259,0.000007759802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008913539,0.00005121031,0.0006297273,0.0001627729,0.00003804934,0.0000765725,0.0000479815,0.9031142,0.04664693,0.002809447,0.0005823476,0.04575161],"study_design_scores_gemma":[0.00001490039,0.0001411433,0.0003212696,0.000006810462,0.00001953149,0.00003053084,0.00002207924,0.9854944,0.01143211,0.0005712236,0.001938636,0.000007301655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.104323,0.0002357599,0.8782158,0.0001678789,0.00004102969,0.0001455878,0.0001279922,0.0004656386,0.01627714],"genre_scores_gemma":[0.9221467,0.0001085957,0.07418208,0.00003056066,0.00001025142,0.0001529921,0.00005605169,0.00004470825,0.003268215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002276295,"threshold_uncertainty_score":0.00761497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04014536534969431,"score_gpt":0.278252769688016,"score_spread":0.2381074043383217,"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."}}