{"id":"W2766914404","doi":"10.3390/en10101650","title":"A Survey on PEV Charging Infrastructure: Impact Assessment and Planning","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Business; Environmental economics; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000115976,0.0001642458,0.0001626107,0.00006216197,0.00026494,0.000238386,0.0001678233,0.0000691896,0.00003632444],"category_scores_gemma":[0.00003523579,0.0001315621,0.00003142318,0.00003733241,0.00003094277,0.0001748618,0.00004543466,0.0002208716,0.000001695699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006325988,"about_ca_system_score_gemma":0.00001839398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001166517,"about_ca_topic_score_gemma":0.00001157535,"domain_scores_codex":[0.999391,0.00001670746,0.0001008247,0.000136285,0.0001146904,0.0002405565],"domain_scores_gemma":[0.9995412,0.00004958634,0.00004329965,0.0002845871,0.00001853788,0.00006279426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001424621,0.000004496203,0.4905756,0.00002892215,0.0001143162,0.00001979484,0.0004572537,0.4536764,0.003695292,0.0006860234,0.01214024,0.03858744],"study_design_scores_gemma":[0.0001842423,0.00004161925,0.9705893,0.00002745141,0.000004446175,0.000004611125,0.00002300299,0.02715904,0.001109541,0.000309588,0.0003938059,0.0001533723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962616,0.0004199388,0.0001931818,0.00001973842,0.0002702825,0.00003868573,0.00001570185,0.0001147298,0.002666116],"genre_scores_gemma":[0.9992064,0.00009108352,0.0004220939,0.00002526686,0.0001717546,0.000003130485,0.00001405109,0.00002603568,0.00004021803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4800137,"threshold_uncertainty_score":0.5364949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310539099789791,"score_gpt":0.2843239052473683,"score_spread":0.2712185142494704,"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."}}