{"id":"W4377097971","doi":"10.3390/en16104186","title":"Locating and Sizing Electric Vehicle Chargers Considering Multiple Technologies","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Group for Research in Decision Analysis; HEC Montréal","funders":"European Commission","keywords":"Sizing; Solver; Heuristic; Electric vehicle; Computer science; Set (abstract data type); Time horizon; Investment (military); Order (exchange); Mathematical optimization; Operations research; Real-time computing; Automotive engineering; Engineering; Business; Finance; Power (physics); Mathematics","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":[0.0006393849,0.001304471,0.001087523,0.0008333391,0.0004046701,0.001667188,0.001065147,0.001186429,0.003956516],"category_scores_gemma":[0.001760885,0.0008334523,0.0009721678,0.00119229,0.0005320546,0.0009186915,0.0007483534,0.0006732104,0.0002540961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388964,"about_ca_system_score_gemma":0.00171879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01294698,"about_ca_topic_score_gemma":0.01443781,"domain_scores_codex":[0.9996341,0.0001175352,0.00001426174,0.00009113166,0.00005642425,0.00008653232],"domain_scores_gemma":[0.9994022,0.0003951861,0.00008024219,0.00002303999,0.00005334914,0.00004589002],"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":[0.0000280456,0.0000180315,0.0004875403,0.00003947726,0.00001483026,0.00007318786,0.00001250629,0.9922115,0.0003863809,0.001079204,0.0001914359,0.005458018],"study_design_scores_gemma":[0.00001364302,0.00004300161,0.000351278,0.000008567348,0.00001877699,0.00002519551,0.00005979088,0.9970049,0.0003941579,0.001572433,0.0005028189,0.000005429362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4269876,0.0008422697,0.5482441,0.000522503,0.0001163762,0.0003763865,0.0006917441,0.000476816,0.02174234],"genre_scores_gemma":[0.9037782,0.0002527327,0.09100291,0.0000457619,0.00002660756,0.000131342,0.0002536393,0.00006535041,0.004443423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01294698,"threshold_uncertainty_score":0.02574319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007085067397836216,"score_gpt":0.185573723621119,"score_spread":0.1784886562232828,"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."}}