{"id":"W2899018264","doi":"10.5267/j.uscm.2018.10.005","title":"A memetic algorithm for the integral OBP/OPP problem in a logistics distribution center","year":2018,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad Nacional del Sur; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Memetic algorithm; Center (category theory); Distribution center; Computer science; Distribution (mathematics); Mathematical optimization; Algorithm; Business; Operations management; Mathematics; Local search (optimization); Engineering; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004890849,0.0002192268,0.0001808267,0.00008436045,0.0001071565,0.00007777545,0.0002867836,0.0000661563,0.0001860592],"category_scores_gemma":[0.00003049971,0.0001635085,0.00007067141,0.0002308353,0.0001426368,0.0000389036,0.00009932095,0.0001430102,0.00001667311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002270652,"about_ca_system_score_gemma":0.000008737436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001761048,"about_ca_topic_score_gemma":0.000223055,"domain_scores_codex":[0.9987006,0.00002608717,0.0003405699,0.0002482068,0.0001925305,0.0004920633],"domain_scores_gemma":[0.9994116,0.0001105649,0.00003849134,0.0003203206,0.00006475394,0.00005425381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004523999,0.0002458318,0.001126379,0.0005516515,0.000279962,0.00007864272,0.0007409856,0.02592135,0.000005675706,0.06847645,0.1330287,0.7694991],"study_design_scores_gemma":[0.0006417242,0.00008278312,0.0006574376,0.00006191665,0.00004743376,0.000002594387,0.0003708173,0.6746116,0.000017928,0.004350842,0.318938,0.000216953],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00006589852,0.00011582,0.9908732,0.0006218089,0.0005320436,0.001313545,0.000339399,0.0001372754,0.006000987],"genre_scores_gemma":[0.9275978,0.0003047363,0.06575014,0.0004665564,0.0006483034,0.001023939,0.001078227,0.00007667769,0.003053606],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9275319,"threshold_uncertainty_score":0.6667684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522943044758916,"score_gpt":0.2364220696592731,"score_spread":0.221192639211684,"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."}}