{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008795279,0.0008751266,0.001147862,0.0003576243,0.0005525674,0.001177926,0.0009669546,0.0008560511,0.003316547],"category_scores_gemma":[0.001824459,0.0004893699,0.0005994656,0.0005332674,0.0005738422,0.0009678795,0.001717241,0.0006189142,0.0001831883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345591,"about_ca_system_score_gemma":0.001454554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01683331,"about_ca_topic_score_gemma":0.01644294,"domain_scores_codex":[0.9994326,0.0002118947,0.00001711576,0.0001082881,0.00005096376,0.0001789647],"domain_scores_gemma":[0.9990615,0.0005374319,0.0001344665,0.00004903173,0.0001278401,0.00008976904],"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":[0.00003278186,0.00001741447,0.0003393952,0.00001569065,0.00001663525,0.00004362376,0.00001526685,0.9960833,0.0001910752,0.001051587,0.0001143284,0.002078947],"study_design_scores_gemma":[0.000008919027,0.00003568073,0.0002769071,0.000002045775,0.000006984566,0.000007110841,0.00004658481,0.9981682,0.00009955251,0.001178932,0.000166333,0.000002722433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6722223,0.0004481504,0.3125864,0.0005478405,0.00006013957,0.0001962041,0.0006077352,0.0003786332,0.01295266],"genre_scores_gemma":[0.9894109,0.0000642516,0.008949645,0.00002033379,0.000004430076,0.00005380667,0.00009503961,0.00001749071,0.001384021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01683331,"threshold_uncertainty_score":0.03347063,"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."}}