{"id":"W4386101933","doi":"10.1016/j.jclepro.2023.138532","title":"Optimal sizing of supercapacitors for cost-effective hybridization of battery-alone energy storage systems","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Sizing; Battery (electricity); Upgrade; Supercapacitor; Energy storage; Reliability engineering; Cost reduction; Service (business); Reduction (mathematics); Engineering; Computer science; Automotive engineering; Business","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":[0.0002043354,0.000690151,0.0007174156,0.0003923467,0.0003898344,0.001072057,0.0009157831,0.0004977251,0.003368255],"category_scores_gemma":[0.0006052825,0.0004865255,0.0002793318,0.0004238403,0.0003017132,0.0008168167,0.0004294332,0.0004298878,0.0004499361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007304397,"about_ca_system_score_gemma":0.0007517264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001256437,"about_ca_topic_score_gemma":0.004426028,"domain_scores_codex":[0.9998484,0.00002653686,0.00001090172,0.00003823889,0.0000462766,0.00002968715],"domain_scores_gemma":[0.9998128,0.00007702337,0.00002510834,0.00002191347,0.00004678566,0.00001634663],"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":[0.0005666498,0.0003575334,0.001055334,0.0003537209,0.00008342766,0.0002022566,0.0001032832,0.6688328,0.2217198,0.006826226,0.002244222,0.09765473],"study_design_scores_gemma":[0.0000390168,0.0002418641,0.0004653504,0.00001372469,0.00004162222,0.00004481753,0.00008502197,0.9422769,0.05227862,0.002874282,0.001623577,0.00001522086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6623861,0.00175849,0.2990015,0.0006342428,0.0002988663,0.0002268829,0.0004481464,0.001271388,0.03397439],"genre_scores_gemma":[0.9812821,0.00009621223,0.01712622,0.00002514129,0.00001133052,0.00004706989,0.0000537409,0.00003559645,0.001322565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003368255,"threshold_uncertainty_score":0.01126796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02044660009461249,"score_gpt":0.2681836918026625,"score_spread":0.2477370917080501,"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."}}