{"id":"W4386113334","doi":"10.1109/tpel.2023.3306979","title":"Energy Conservation Versus Charge Conservation Law for Modeling and Analyzing Cell Equalizers","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Battery (electricity); Equalization (audio); Energy conservation; Capacitance; Reliability (semiconductor); Conservation law; Conservation of energy; Charge conservation; Engineering; Renewable energy; Power (physics); Electrical engineering; Process (computing); Computer science; Charge (physics); 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":[0.0003274669,0.0005981674,0.0003664044,0.000491182,0.0002766961,0.0006800448,0.0007759798,0.0006141727,0.001717354],"category_scores_gemma":[0.001138872,0.0001962683,0.0005648446,0.0005204761,0.0007047763,0.001364966,0.0004881914,0.0007635724,0.0004494898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006497332,"about_ca_system_score_gemma":0.0003431032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003014211,"about_ca_topic_score_gemma":0.001419064,"domain_scores_codex":[0.9997944,0.00004836759,0.000009347407,0.00003821396,0.00009168671,0.00001806726],"domain_scores_gemma":[0.9997943,0.00009713857,0.00002544802,0.00002819441,0.00005013444,0.000004672783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004904912,0.0000479119,0.0008876959,0.0001793583,0.00002323564,0.0002260052,0.0002282627,0.761789,0.01710048,0.179777,0.002193181,0.03749888],"study_design_scores_gemma":[0.000002603218,0.00001532177,0.00007710545,0.000006879476,0.00000457342,0.00003326794,0.00001058245,0.990717,0.00113547,0.006316404,0.001676119,0.000004625578],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01240529,0.001361649,0.9703,0.0002225325,0.0001491066,0.00006132351,0.00008668777,0.0001978122,0.01521569],"genre_scores_gemma":[0.903328,0.0040286,0.07498218,0.0002969956,0.0002212804,0.0002901758,0.0001865292,0.0001574145,0.01650891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003014211,"threshold_uncertainty_score":0.005993307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0299333481254814,"score_gpt":0.2779029017258036,"score_spread":0.2479695536003222,"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."}}