{"id":"W2775898841","doi":"10.1561/3100000016","title":"Sustainable Transportation with Electric Vehicles","year":2017,"lang":"en","type":"article","venue":"Foundations and Trends® in Electric Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Automotive engineering; Electric vehicle; Electricity; Grid; Charging station; Computer science; Electric power; Software deployment; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009950484,0.0001988972,0.0002321221,0.0005453572,0.0004438741,0.0003246575,0.0001699788,0.0001125855,0.00001334067],"category_scores_gemma":[0.000006786849,0.0001747382,0.00003083119,0.0007659402,0.00002339321,0.0004685831,0.000004694487,0.0001749562,0.000001284009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001219055,"about_ca_system_score_gemma":0.00003253629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002086107,"about_ca_topic_score_gemma":0.001083784,"domain_scores_codex":[0.998867,0.00002143659,0.0002644309,0.0002354294,0.0001545182,0.000457227],"domain_scores_gemma":[0.9994402,0.00002762079,0.00009452618,0.0002955407,0.00006935241,0.00007275071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001048703,0.0001615674,0.04267575,0.0003754469,0.0004322065,0.0002260759,0.0007349064,0.1092688,0.005543628,0.3311072,0.003671579,0.505698],"study_design_scores_gemma":[0.003042074,0.0006555959,0.486356,0.0001201675,0.0001477312,0.0001603229,0.0003501321,0.4391247,0.00244775,0.003038849,0.06321313,0.001343456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645769,0.005362374,0.006495377,0.0001662824,0.0002117913,0.0002015555,0.000008958097,0.0003198857,0.02265688],"genre_scores_gemma":[0.9968445,0.0003852757,0.00006178426,0.000008213307,0.0001027026,0.00007450521,0.00005771924,0.00003557465,0.002429771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5043545,"threshold_uncertainty_score":0.7125618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005015973422324159,"score_gpt":0.2023936682956128,"score_spread":0.1973776948732887,"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."}}