{"id":"W3205850702","doi":"10.3390/en14206589","title":"Impact of Charging Electric Vehicles under Different State of Charge Levels and Extreme Conditions","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Voltage; State of charge; Electric power system; Computer science; Mathematical optimization; Optimization problem; Extreme value theory; Power (physics); Control theory (sociology); Engineering; Electrical engineering; Algorithm; Mathematics; Artificial intelligence","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":[0.0008603467,0.0005651669,0.0004039443,0.0003703313,0.0004422579,0.001260889,0.0004223869,0.000733395,0.001021876],"category_scores_gemma":[0.003410417,0.0002356803,0.000412779,0.0002922654,0.00047478,0.001119198,0.0007848951,0.0005921698,0.0001161462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006468928,"about_ca_system_score_gemma":0.0003969623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003986268,"about_ca_topic_score_gemma":0.003157762,"domain_scores_codex":[0.9994621,0.0001741373,0.00002208744,0.00006746657,0.0001119553,0.0001622951],"domain_scores_gemma":[0.9984562,0.0009600488,0.000164692,0.0001162337,0.0002028043,0.00009987722],"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":[0.0003750894,0.00007649865,0.008202718,0.00005883466,0.00004363216,0.0003103811,0.00007659566,0.961506,0.006162106,0.002035655,0.0003975042,0.02075504],"study_design_scores_gemma":[0.00001980228,0.0002134457,0.005591192,0.00001203167,0.00003183708,0.0001176899,0.0001951312,0.9838623,0.007620999,0.001885128,0.0004288375,0.00002161405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9252288,0.0001541182,0.06734421,0.0001724716,0.00004201501,0.00003841831,0.00008017203,0.0002361444,0.00670366],"genre_scores_gemma":[0.9981865,0.00002093362,0.001566438,0.000009879784,0.000001659297,0.000003723337,0.00002707467,0.00000760229,0.0001761684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003986268,"threshold_uncertainty_score":0.007926106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457176035632342,"score_gpt":0.2302253306810207,"score_spread":0.2156535703246973,"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."}}