{"id":"W3124830855","doi":"10.2139/ssrn.3223735","title":"Charging Electric Vehicle Sharing Fleet","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Electric vehicle; Automotive engineering; Fleet management; Car sharing; Transport engineering; Business; Aeronautics; Computer science; Engineering; Physics","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":[0.000309737,0.0003978771,0.0004380585,0.0005308051,0.0008116331,0.0009199975,0.0008901801,0.0005703549,0.02029625],"category_scores_gemma":[0.0008000672,0.0001640035,0.0004111794,0.0008728793,0.0001913691,0.00155852,0.001032761,0.0003984043,0.001853417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007005255,"about_ca_system_score_gemma":0.0005935901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003033543,"about_ca_topic_score_gemma":0.002973515,"domain_scores_codex":[0.9996129,0.00006108802,0.00001181424,0.0000779065,0.0001283393,0.0001080894],"domain_scores_gemma":[0.9997721,0.00004035794,0.00001475814,0.00006405475,0.0000747139,0.00003394087],"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":[0.001172237,0.0002230934,0.01255529,0.0001581084,0.0001437123,0.001197578,0.0002385767,0.6431939,0.02170578,0.05804198,0.02084476,0.2405249],"study_design_scores_gemma":[0.00006259487,0.000625998,0.0124006,0.00002922018,0.00007516787,0.001004652,0.0008895855,0.885679,0.01326086,0.0315319,0.0543691,0.00007124153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6868886,0.000249791,0.1235657,0.0005203664,0.0003396616,0.0002724236,0.001460409,0.001035617,0.1856674],"genre_scores_gemma":[0.9799466,0.0000468053,0.002230443,0.00002108099,0.00001540516,0.00002369702,0.0003837326,0.00002909881,0.01730319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02029625,"threshold_uncertainty_score":0.06789768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007964348244207902,"score_gpt":0.2252745439845447,"score_spread":0.2173101957403367,"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."}}