{"id":"W2965064847","doi":"10.1155/2019/4165942","title":"Multimodal Green Logistics Network Design of Urban Agglomeration with Stochastic Demand","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Central South University; National Natural Science Foundation of China","keywords":"Economies of agglomeration; Particle swarm optimization; Node (physics); Computer science; Multimodal transport; Operations research; Mathematical optimization; Business; Microeconomics; Economics; Engineering; Marketing; 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":[0.0006036895,0.000940799,0.0007944075,0.0006443193,0.0006243319,0.0009759041,0.001134085,0.0009684293,0.002618815],"category_scores_gemma":[0.001111379,0.0004926444,0.0008248562,0.0007204229,0.0007702275,0.001107316,0.001262109,0.0005565399,0.0002120968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001854961,"about_ca_system_score_gemma":0.0009342351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007489915,"about_ca_topic_score_gemma":0.007897048,"domain_scores_codex":[0.9995518,0.0001610662,0.00001130089,0.0001044901,0.00007113229,0.0001001506],"domain_scores_gemma":[0.9995603,0.0001604329,0.00008829579,0.00002385884,0.00009856205,0.0000686065],"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":[0.00002547835,0.00001387987,0.0004817789,0.00001984392,0.00001617445,0.0001042936,0.00002973184,0.9872797,0.0009651917,0.008008095,0.0002498535,0.002806068],"study_design_scores_gemma":[0.000002637711,0.0000105466,0.00008020717,0.000001456471,0.000004362691,0.00000894121,0.00002235154,0.997169,0.0001251211,0.00239935,0.0001735933,0.00000245408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1755906,0.000217994,0.8142302,0.0003939175,0.00003238144,0.00008293206,0.0001746341,0.0001581061,0.009119196],"genre_scores_gemma":[0.964106,0.0001439804,0.03138705,0.00004738447,0.000008485244,0.0000849434,0.0001083934,0.00003397899,0.004079833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007489915,"threshold_uncertainty_score":0.01489264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376336281040855,"score_gpt":0.260346540240505,"score_spread":0.2465831774300965,"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."}}