{"id":"W3008933864","doi":"10.1155/2020/1596428","title":"Structural Optimization of Logistics Distribution System Based on Characteristic State Space","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematical optimization; Process (computing); Computer science; Convergence (economics); Basis (linear algebra); Distribution (mathematics); Genetic algorithm; Matrix (chemical analysis); State (computer science); State space; Optimization problem; Iterated function; Function (biology); Resource (disambiguation); Path (computing); Space (punctuation); Algorithm; 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":[0.0005598916,0.000733949,0.0008058368,0.0007727432,0.000460139,0.0008087646,0.000505109,0.0005605313,0.00176049],"category_scores_gemma":[0.0010238,0.0004199579,0.0008023966,0.0007275181,0.0006844322,0.001056424,0.0007144817,0.0007007836,0.0001509111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094195,"about_ca_system_score_gemma":0.001525291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007147444,"about_ca_topic_score_gemma":0.005206462,"domain_scores_codex":[0.9997012,0.00008269031,0.00001101327,0.00006928346,0.00009113369,0.00004464637],"domain_scores_gemma":[0.9996741,0.0001741535,0.00004066171,0.00001644986,0.00008096741,0.00001373892],"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":[0.00001228076,0.000009325985,0.0003254594,0.00002106867,0.00001117636,0.00001068418,0.0000167744,0.9853913,0.0005975285,0.004949266,0.0001289519,0.008526223],"study_design_scores_gemma":[0.000003060624,0.00000952354,0.00009533768,0.000001402692,0.000002877757,0.000003215282,0.000004980576,0.9978299,0.0001569103,0.001768598,0.0001218813,0.000002442142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02969808,0.0001056524,0.9667742,0.0000966715,0.00001377132,0.00003316605,0.00003798911,0.0001188361,0.003121641],"genre_scores_gemma":[0.8813997,0.0003211504,0.1139291,0.00004163532,0.00001898157,0.0002693173,0.0001973071,0.00007348079,0.003749393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007147444,"threshold_uncertainty_score":0.01421165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00909933866444912,"score_gpt":0.2048354737490589,"score_spread":0.1957361350846098,"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."}}