{"id":"W4378843470","doi":"10.1109/apec43580.2023.10131619","title":"Cell Equalizers Modeling and Analysis Based on Energy Conservation Method","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Equalization (audio); Equalizer; Voltage; Energy (signal processing); Series (stratigraphy); Computer science; Process (computing); Energy storage; Electronic engineering; Control theory (sociology); Electrical engineering; Engineering; Telecommunications; Mathematics; Physics; Power (physics); Decoding methods","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":[0.0001973688,0.0005407616,0.000537728,0.0005130715,0.0003407771,0.0007780189,0.0008283984,0.0005741321,0.002919334],"category_scores_gemma":[0.0004731349,0.000215096,0.0007362668,0.0004324795,0.0003594075,0.0009171706,0.0003434599,0.0005195022,0.0005084472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007249197,"about_ca_system_score_gemma":0.0004898592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006863131,"about_ca_topic_score_gemma":0.003869676,"domain_scores_codex":[0.999826,0.00002849321,0.00001015099,0.00003570766,0.00008125147,0.00001840307],"domain_scores_gemma":[0.9998398,0.00005907876,0.00001994592,0.0000154997,0.00006208891,0.000003590452],"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":[0.00003381037,0.00002006251,0.0006405629,0.0001137232,0.00002935328,0.0001146379,0.0000833727,0.9525706,0.01176592,0.01077193,0.0006474165,0.02320855],"study_design_scores_gemma":[0.000001696681,0.00001126316,0.0001004785,0.000004439422,0.000007194494,0.00002507851,0.000009108781,0.9965909,0.001729135,0.0007408039,0.0007766265,0.000003406145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01818845,0.0008120458,0.9675143,0.00009084448,0.00004817991,0.00008155176,0.0001114998,0.0003857655,0.01276731],"genre_scores_gemma":[0.9335307,0.001526251,0.05213704,0.0000751547,0.00004347527,0.0002468483,0.0002024845,0.00009004943,0.01214799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006863131,"threshold_uncertainty_score":0.01364636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04345618782410036,"score_gpt":0.3203437844672124,"score_spread":0.276887596643112,"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."}}