{"id":"W2075892962","doi":"10.1109/pesgm.2014.6939926","title":"PEVs real-time coordination in smart grid based on moving time window","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Smart grid; Computer science; Grid; Profit (economics); Plug-in; Real-time computing; Electricity; Distribution grid; Simulation; Voltage; Engineering; Electrical engineering","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":[0.0001509397,0.0001134303,0.000128068,0.0001263505,0.0000257524,0.00002403055,0.00008073029,0.00008228957,0.000619899],"category_scores_gemma":[0.00002645679,0.0001041959,0.00002953623,0.0002038801,0.000006094279,0.00008718146,0.000007356897,0.000137053,0.0002422632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008009213,"about_ca_system_score_gemma":0.00000860385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004998558,"about_ca_topic_score_gemma":0.000008677592,"domain_scores_codex":[0.9993947,0.0000221862,0.0001414665,0.0001219989,0.0001166349,0.0002030008],"domain_scores_gemma":[0.9997056,0.00007035524,0.00001582398,0.0001478367,0.00001749694,0.00004287127],"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":[0.00004206939,0.00005829721,0.009057022,0.000096978,0.00002564196,0.000008193988,0.0001214875,0.5335063,0.2904914,0.001615006,0.08769205,0.07728548],"study_design_scores_gemma":[0.0003612534,0.00006532701,0.02732255,0.00001989654,0.000002854785,0.000001082132,0.000001713464,0.9626037,0.006810234,0.0001278887,0.002545989,0.0001375036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7378774,0.00001058656,0.00434279,0.0004692486,0.0001747181,0.0002104379,0.000003987858,0.000602766,0.256308],"genre_scores_gemma":[0.9971468,0.000001870151,0.00108026,0.0001585456,0.0001230014,0.000004778687,0.00002202179,0.000025534,0.001437229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4290974,"threshold_uncertainty_score":0.678746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002212371999816742,"score_gpt":0.1678830261647059,"score_spread":0.1656706541648891,"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."}}