{"id":"W2023158517","doi":"10.1002/asmb.666","title":"Optimal model for warehouse location and retailer allocation","year":2007,"lang":"en","type":"article","venue":"Applied Stochastic Models in Business and Industry","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"Sultan Qaboos University","keywords":"Supply chain; Warehouse; Computer science; Operations research; Integer programming; Product (mathematics); Facility location problem; Set (abstract data type); Heuristic; Supply chain management; Location-allocation; Business; Mathematical optimization; Marketing; Mathematics; Algorithm","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":[0.001900957,0.001356378,0.002212163,0.001296672,0.0007475865,0.003840013,0.003516047,0.004267635,0.01588694],"category_scores_gemma":[0.003409966,0.001564385,0.001375349,0.002185563,0.001545547,0.002539531,0.001905274,0.002176038,0.002151653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004516644,"about_ca_system_score_gemma":0.002857873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01947591,"about_ca_topic_score_gemma":0.01194961,"domain_scores_codex":[0.9982939,0.0006283758,0.00005407809,0.0003657973,0.0002450748,0.0004127982],"domain_scores_gemma":[0.9988244,0.0005743458,0.0001834493,0.00007994656,0.000215244,0.0001225336],"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":[0.0000344888,0.00001527202,0.00009233353,0.00002446901,0.0000111752,0.00005062578,0.00001736351,0.9775758,0.0002156975,0.01966174,0.0007404763,0.001560626],"study_design_scores_gemma":[0.00002161115,0.00001616504,0.00006757709,0.000005500061,0.000008027865,0.00001325434,0.00001339606,0.9919358,0.0000896611,0.007053855,0.0007651048,0.000009942195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04636575,0.0005641136,0.9098521,0.001270076,0.0001733846,0.00019483,0.001316026,0.0005474638,0.03971628],"genre_scores_gemma":[0.8643212,0.0005899753,0.08749991,0.0002092935,0.00009797422,0.0005499533,0.0007664309,0.0001429015,0.04582234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01947591,"threshold_uncertainty_score":0.05314708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02556893365458258,"score_gpt":0.2327630790626426,"score_spread":0.20719414540806,"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."}}