{"id":"W4312555543","doi":"10.1109/jproc.2022.3216362","title":"Charging Infrastructure and Grid Integration for Electromobility","year":2022,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":205,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Comisión Nacional de Investigación Científica y Tecnológica; Agencia Nacional de Investigación y Desarrollo; Universidad de los Andes; Isaac Newton Trust; Duke Energy","keywords":"Grid; Computer science; Business; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001246301,0.00006148287,0.0000772802,0.00004889186,0.0001087701,0.00001096931,0.0002422315,0.00002340892,0.000007572181],"category_scores_gemma":[0.00008336356,0.00004825415,0.00002380794,0.000170146,0.0000400656,0.00009622282,0.0001040146,0.0002437095,8.0763e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009771712,"about_ca_system_score_gemma":0.000004650264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.135682e-7,"about_ca_topic_score_gemma":2.921696e-7,"domain_scores_codex":[0.9995604,0.000001230474,0.00008833659,0.00009638409,0.0001132639,0.0001404115],"domain_scores_gemma":[0.9998354,0.00002280913,0.00002893195,0.00005712664,0.0000454544,0.00001025379],"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":[0.0000208282,0.000005853985,0.001493337,0.0001541281,0.0000132165,3.003965e-8,0.0001991408,0.00115149,0.9769946,0.00073758,0.004271384,0.01495838],"study_design_scores_gemma":[0.0001867893,0.00009490498,0.002345555,0.00001278071,0.000006371227,0.00001126536,0.0005531113,0.02471421,0.9506938,0.01792719,0.003350228,0.0001037799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980424,0.00006509729,0.0008263434,0.0002517049,0.0001540647,0.0003150745,0.00001673347,0.0001388822,0.0001896671],"genre_scores_gemma":[0.9983096,0.00001467568,0.001444551,0.00001347898,0.00003226167,0.0001415161,7.539926e-7,0.00001260064,0.00003058144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02630082,"threshold_uncertainty_score":0.1967747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008148304654986394,"score_gpt":0.2295732631126055,"score_spread":0.2214249584576191,"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."}}