{"id":"W4296760371","doi":"","title":"A tree-search heuristic for a stochastic one-warehouse multi-retailer problem with multiple transportation modes","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Heuristic; Computer science; Tree (set theory); Warehouse; Mathematical optimization; Operations research; Mathematics; Artificial intelligence; Business; Combinatorics; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00100941,0.0006840064,0.001714513,0.001205272,0.0007158162,0.001030501,0.001697138,0.00267228,0.007209354],"category_scores_gemma":[0.00252836,0.0007711675,0.001101976,0.001960268,0.0005253817,0.001258496,0.0008879111,0.0009195103,0.0004365405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358256,"about_ca_system_score_gemma":0.002508378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008513573,"about_ca_topic_score_gemma":0.009527132,"domain_scores_codex":[0.9996087,0.0001570204,0.00001824576,0.00006848947,0.0000534285,0.00009417609],"domain_scores_gemma":[0.9981833,0.001365188,0.0000885641,0.00004474363,0.0001429436,0.0001752892],"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":[0.00009746665,0.0001013342,0.0002326639,0.00009290129,0.00002665848,0.00008262426,0.00003042909,0.9746081,0.0005566577,0.004672012,0.001515451,0.01798365],"study_design_scores_gemma":[0.00004078887,0.00005111681,0.0000647399,0.00001117982,0.00001155757,0.00001568316,0.00001608123,0.9972089,0.00009640284,0.002161895,0.000316458,0.000005202391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1626292,0.001240912,0.8177437,0.0009108919,0.0002102645,0.0005049407,0.0006659008,0.0008140387,0.01528021],"genre_scores_gemma":[0.5595214,0.0004513749,0.4340099,0.0002740207,0.00005719717,0.0003941647,0.0005116297,0.0001402346,0.004640041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008513573,"threshold_uncertainty_score":0.02411771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488154512666823,"score_gpt":0.2300636835494849,"score_spread":0.2051821384228167,"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."}}