{"id":"W2990691480","doi":"10.1109/tiv.2019.2955370","title":"A Novel Electric Vehicles Charging/Discharging Management Protocol Based on Queuing Model","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Vehicles","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":155,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Electric vehicle; Queueing theory; Vehicle-to-grid; Grid; Charging station; Smart grid; Computer science; Automotive engineering; Schedule; Simulation; Electrical engineering; Engineering; Power (physics); Computer network; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001955172,0.0005107633,0.00035021,0.000671273,0.0002163495,0.0001192793,0.0003831282,0.0001977722,0.0002391814],"category_scores_gemma":[0.000001562109,0.0004898713,0.0002533694,0.0006965384,0.00002428199,0.0002134468,0.000002713019,0.0007893913,0.000327378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003573322,"about_ca_system_score_gemma":0.00003892501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001269463,"about_ca_topic_score_gemma":0.000004472654,"domain_scores_codex":[0.9976336,0.00003031273,0.0005112895,0.0005562014,0.0005397155,0.0007289219],"domain_scores_gemma":[0.9990654,0.00008822345,0.00007510715,0.0005486919,0.00005958816,0.0001630083],"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":[0.0001492556,0.000201946,0.00002389288,0.0002630013,0.00009541571,0.000003814538,0.0001099794,0.8887797,0.05088009,0.0005295853,0.0001737239,0.05878963],"study_design_scores_gemma":[0.000696691,0.0001972409,0.0000531073,0.0002150281,0.00003162854,0.000005081617,0.00004319286,0.7433109,0.2538806,0.0001823008,0.0009667581,0.0004174691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05559006,0.00001971159,0.9225145,0.0001085433,0.0003010352,0.01663435,0.0000287787,0.0008340175,0.00396898],"genre_scores_gemma":[0.9837386,0.0000330441,0.004097459,0.0003948932,0.00006479219,0.01088808,0.000004071223,0.0001462853,0.0006327771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9281485,"threshold_uncertainty_score":0.9997553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180921936443525,"score_gpt":0.2310786622985763,"score_spread":0.219269442934141,"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."}}