{"id":"W3021057070","doi":"10.1109/itec-india48457.2019.itecindia2019-226","title":"Review of Electric Vehicle Charging Station Location Planning","year":2019,"lang":"en","type":"article","venue":"2019 IEEE Transportation Electrification Conference (ITEC-India)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Charging station; Electric vehicle; Incentive; Government (linguistics); Range (aeronautics); Relevance (law); Public transport; Transport engineering; Business; Environmental economics; Computer science; Telecommunications; Engineering; Economics","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":[0.0008845688,0.0007713984,0.000781228,0.002643185,0.0003427307,0.00125715,0.001352674,0.0006344483,0.004781633],"category_scores_gemma":[0.002169123,0.0004809125,0.0005692054,0.005598958,0.0003477124,0.001503722,0.0003817009,0.0006208846,0.001351013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008567848,"about_ca_system_score_gemma":0.002517561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005135594,"about_ca_topic_score_gemma":0.005451738,"domain_scores_codex":[0.9995029,0.0001025428,0.00007928538,0.00009468897,0.0001926987,0.00002795167],"domain_scores_gemma":[0.998351,0.000853305,0.0001376677,0.00004001441,0.0005827404,0.00003530222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005165986,0.00006907989,0.0007643108,0.02515911,0.0000944365,0.0002309505,0.0001267288,0.005655032,0.0006871487,0.01193756,0.04298307,0.912241],"study_design_scores_gemma":[0.000009563502,0.0001521305,0.003069935,0.009583792,0.0001969327,0.0008107544,0.0002853051,0.001544944,0.0008380251,0.005390523,0.9780634,0.00005473523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001239915,0.9835618,0.003249709,0.001086081,0.0006476246,0.0000255902,0.0002284001,0.00003319984,0.009927735],"genre_scores_gemma":[0.006604448,0.989256,0.001965822,0.0002125981,0.0004263634,0.0000139202,0.000225112,0.000006361216,0.001289385],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005135594,"threshold_uncertainty_score":0.01599616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103435362644057,"score_gpt":0.2298767875254341,"score_spread":0.2195332512610284,"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."}}