{"id":"W3012654480","doi":"10.1155/2020/6147974","title":"A Distribution Model for Shared Parking in Residential Zones that Considers the Utilization Rate and the Walking Distance","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; Fundamental Research Funds for the Central Universities; Central South University; National Natural Science Foundation of China","keywords":"Downtown; Parking guidance and information; Parking space; Transport engineering; Economic shortage; Distribution (mathematics); Space (punctuation); Computer science; Parking lot; Geography; Civil engineering; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001082361,0.001062949,0.001174132,0.001087165,0.0005891299,0.001716943,0.002965439,0.001586319,0.00520775],"category_scores_gemma":[0.001724168,0.0008121944,0.001397014,0.001564473,0.0007442176,0.002229548,0.0009555275,0.00109951,0.0006772171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001972217,"about_ca_system_score_gemma":0.001463186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02141693,"about_ca_topic_score_gemma":0.01561571,"domain_scores_codex":[0.9993985,0.0001495926,0.00003024711,0.0001732653,0.0001004682,0.0001479646],"domain_scores_gemma":[0.9992887,0.0003190771,0.000105617,0.0000313516,0.0001847265,0.0000703934],"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":[0.00002570728,0.00002828237,0.0008232725,0.00003953794,0.00001865588,0.0001010908,0.00004668288,0.9863258,0.0004345513,0.007944309,0.0006852414,0.003526823],"study_design_scores_gemma":[0.000004217258,0.000007530273,0.0001706512,0.000002677088,0.000006991855,0.00001979929,0.00001593773,0.9981318,0.00004071981,0.001379021,0.0002157898,0.000004937932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08205654,0.0006574523,0.9041545,0.0006572172,0.0001164571,0.0001311618,0.0008099598,0.0003734347,0.01104327],"genre_scores_gemma":[0.9529688,0.0006419391,0.03026747,0.00008244677,0.00005764534,0.0002607077,0.0004769435,0.00009012653,0.01515396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02141693,"threshold_uncertainty_score":0.04258454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04341142128110927,"score_gpt":0.2802009906283248,"score_spread":0.2367895693472155,"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."}}