{"id":"W340997383","doi":"10.1007/s40565-015-0122-2","title":"Residential electrical vehicle charging strategies: the good, the bad and the ugly","year":2015,"lang":"en","type":"article","venue":"Journal of Modern Power Systems and Clean Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; H2020 European Research Council; Science Foundation Ireland; Queen's University Belfast; National University of Ireland","keywords":"Testbed; Variety (cybernetics); Electric vehicle; Range (aeronautics); Computer science; Electric power system; Power (physics); Operations research; Automotive engineering; Engineering; Artificial intelligence; Aerospace engineering; Computer network","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007119603,0.0001390396,0.0002352599,0.00003974845,0.0001657068,0.0003176114,0.0002524711,0.0000751808,0.000002976156],"category_scores_gemma":[0.0000181211,0.00005923045,0.00007020982,0.000118635,0.00008767414,0.0001978985,0.00003363206,0.0003655171,4.414021e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003478395,"about_ca_system_score_gemma":0.0000542976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001702392,"about_ca_topic_score_gemma":0.00004241716,"domain_scores_codex":[0.9988732,0.0001359953,0.0003568104,0.00008626833,0.0003205865,0.0002271009],"domain_scores_gemma":[0.9993885,0.0001144834,0.0001431634,0.0001650763,0.00008904716,0.00009970359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001227645,0.00007060806,0.001098193,0.0001193818,0.001820034,0.0001726289,0.0227402,0.2328751,0.006101705,0.4946075,0.08545618,0.1537109],"study_design_scores_gemma":[0.005374346,0.0006031549,0.004122041,0.0001659618,0.0002257549,0.003176051,0.01062574,0.8553293,0.0006632726,0.02315266,0.09604419,0.0005175382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8676681,0.07445942,0.04722222,0.002276518,0.001463671,0.0002071899,0.000003340575,0.00005589454,0.006643631],"genre_scores_gemma":[0.9986146,0.0006825691,0.000007926981,0.0001272511,0.0004186053,0.000002477509,1.771901e-7,0.00002149493,0.0001249151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6224542,"threshold_uncertainty_score":0.3062735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006103781520911534,"score_gpt":0.1920879057731397,"score_spread":0.1859841242522281,"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."}}