{"id":"W3158561246","doi":"10.1155/2021/6654909","title":"Real-Time Return Demand Prediction Based on Multisource Data of One-Way Carsharing Systems","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Relocation; Computer science; Demand forecasting; Real-time data; Operations research; Supply and demand; Field (mathematics); Simulation; Real-time computing; Engineering","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":[0.0005517025,0.001072182,0.0007301526,0.0009182486,0.0003835424,0.0006895462,0.0007611999,0.0005541804,0.0008220138],"category_scores_gemma":[0.001647607,0.0003331038,0.0004625559,0.001003828,0.0002046487,0.001073094,0.0004770033,0.0007516902,0.0002888862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006145498,"about_ca_system_score_gemma":0.0005570865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01768963,"about_ca_topic_score_gemma":0.01407562,"domain_scores_codex":[0.9996089,0.00005207023,0.0000322888,0.0001156554,0.0001290405,0.00006206054],"domain_scores_gemma":[0.9990463,0.0003269778,0.0001119216,0.00008924774,0.0003604513,0.00006506511],"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":[0.0004443134,0.0003869974,0.06182253,0.000199462,0.00008538296,0.0005594307,0.0002150143,0.8618281,0.0099207,0.0004840832,0.001853374,0.06220054],"study_design_scores_gemma":[0.000005586025,0.00003948298,0.007493492,0.00000333853,0.000009194948,0.00001648344,0.00005780488,0.9910536,0.001059619,0.0001041698,0.0001464365,0.00001082515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468076,0.0002287312,0.0490493,0.0001917244,0.00007594212,0.00006256451,0.0009532673,0.0008202739,0.001810617],"genre_scores_gemma":[0.9956936,0.00005291407,0.003332035,0.00001116063,0.000007286339,0.00001649029,0.0005887618,0.0000105034,0.0002873818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01768963,"threshold_uncertainty_score":0.03517336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083661272008519,"score_gpt":0.2485717513151503,"score_spread":0.2277351385950651,"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."}}