{"id":"W4205923831","doi":"10.3390/su14020876","title":"System Optimization of Shared Mobility in Suburban Contexts","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Context (archaeology); Battery electric vehicle; Powertrain; Transport engineering; Battery (electricity); Public transport; Electric vehicle; Internal combustion engine; Total cost of ownership; Environmental economics; Sustainable transport; Computer science; Automotive engineering; Engineering; Sustainability; 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":[0.0005572294,0.00008746465,0.0001745346,0.0001340934,0.0000630264,0.000006054236,0.000118447,0.00003410041,0.0002156517],"category_scores_gemma":[0.0001011958,0.0001070222,0.00004877844,0.0007097029,0.00004826668,0.0001093155,0.00001970589,0.0001585516,3.614839e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332134,"about_ca_system_score_gemma":0.0001402551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001850441,"about_ca_topic_score_gemma":0.00009846313,"domain_scores_codex":[0.9989624,0.00007624527,0.0004653221,0.0001708018,0.0001621601,0.000163098],"domain_scores_gemma":[0.9992515,0.00004532754,0.00004080877,0.0003195468,0.0003126122,0.00003021228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00002367166,0.0001411242,0.05934243,0.0005750627,0.000007159718,0.000002405041,0.001032832,0.9303475,0.00004264539,0.008121419,0.00004414353,0.0003195778],"study_design_scores_gemma":[0.001229038,0.00008931725,0.7318072,0.00001492664,0.000017412,0.000002531968,0.01271172,0.2511567,0.0003113747,0.00124674,0.001108096,0.0003048748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858257,0.00006248036,0.01198186,0.0001062134,0.0001560483,0.0008425773,0.0001390302,0.0002676881,0.0006184257],"genre_scores_gemma":[0.9992867,5.836021e-7,0.0002814052,0.000007574401,0.000004683433,0.0002808177,0.00009824256,0.00001119575,0.00002881945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6791908,"threshold_uncertainty_score":0.4364238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005565728960542414,"score_gpt":0.2183624920259404,"score_spread":0.2127967630653979,"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."}}