{"id":"W2902089798","doi":"10.3390/en11123362","title":"The Role of Charging Infrastructure in Electric Vehicle Implementation within Smart Grids","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"Natural Resources Canada","keywords":"Microgrid; Electric vehicle; Context (archaeology); Smart grid; Energy storage; Electricity; Grid; Queueing theory; Computer science; Charging station; Duration (music); Resilience (materials science); Automotive engineering; Power (physics); Electrical engineering; Renewable energy; Engineering; Computer network","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":[0.001066785,0.00036307,0.0002756071,0.0003911578,0.0004012473,0.001321815,0.000606955,0.0004877232,0.001449817],"category_scores_gemma":[0.003940919,0.0002936188,0.0002892927,0.0004905103,0.0005497309,0.001791257,0.0007951197,0.0005974086,0.0001710552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339126,"about_ca_system_score_gemma":0.001282136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00914921,"about_ca_topic_score_gemma":0.007448626,"domain_scores_codex":[0.999355,0.0002851233,0.00002326664,0.00005668546,0.00009781888,0.0001820989],"domain_scores_gemma":[0.9986722,0.0007085489,0.0002140767,0.0001064298,0.0002287381,0.00007000758],"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":[0.0001224991,0.0001086385,0.01605567,0.00006061258,0.00003321926,0.0001987056,0.0001877145,0.9477793,0.003402903,0.01396983,0.0002271073,0.0178538],"study_design_scores_gemma":[0.0000202453,0.0002831061,0.009511395,0.0000279954,0.00004478262,0.00005952745,0.0006664498,0.9775943,0.004413574,0.005601794,0.001746451,0.00003053036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9215944,0.0002162821,0.06337328,0.0003290649,0.0000328602,0.0000848975,0.00006790784,0.0001881388,0.01411329],"genre_scores_gemma":[0.9981723,0.00006234659,0.001408021,0.000007287751,0.000001578379,0.000006291926,0.00001096149,0.000007834305,0.0003234775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00914921,"threshold_uncertainty_score":0.01819193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002297717064712595,"score_gpt":0.2010985350442223,"score_spread":0.1988008179795097,"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."}}