{"id":"W2969408426","doi":"10.3390/app9163420","title":"Optimal Charging of Plug-In Electric Vehicle: Considering Travel Behavior Uncertainties and Battery Degradation","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Automotive engineering; Plug-in; Smart grid; Electrification; Computer science; Battery (electricity); Electric vehicle; Environmental economics; Environmental science; Electricity; Electrical engineering; Power (physics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005479692,0.0006126127,0.0008032845,0.0003748176,0.0003773594,0.0009635882,0.000656865,0.0006994368,0.00146784],"category_scores_gemma":[0.001945011,0.0004563926,0.0005124864,0.0004707589,0.0005027449,0.0008401817,0.000463832,0.0005716771,0.00006367035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490157,"about_ca_system_score_gemma":0.001354252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02646402,"about_ca_topic_score_gemma":0.01563158,"domain_scores_codex":[0.9998024,0.00006894758,0.000006282477,0.0000350061,0.00002639782,0.00006100581],"domain_scores_gemma":[0.9995215,0.0002895953,0.00006573663,0.00001474596,0.00006899772,0.0000394056],"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":[0.00001339313,0.000006178703,0.00031814,0.000008221187,0.000006348462,0.00002871886,0.000007213488,0.9977401,0.0001202712,0.0008943419,0.00004737613,0.0008096482],"study_design_scores_gemma":[0.000003115654,0.000007839958,0.0001579854,0.00000103551,0.000003348754,0.000003888975,0.00001465334,0.9990202,0.00005894443,0.0006743134,0.00005316087,0.000001503973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5356279,0.0003650862,0.4549812,0.0005156629,0.00005594044,0.000122353,0.0002547171,0.0001255853,0.007951571],"genre_scores_gemma":[0.9948654,0.00006634522,0.004268776,0.00001283768,0.000005649764,0.00001625021,0.00004433784,0.00001057871,0.0007098006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02646402,"threshold_uncertainty_score":0.05261993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008891442852606122,"score_gpt":0.2042980589380056,"score_spread":0.1954066160853995,"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."}}