{"id":"W3214888932","doi":"10.1287/opre.2021.2194","title":"Technical Note—A Permutation-Dependent Separability Approach for Capacitated Two-Echelon Inventory Systems","year":2021,"lang":"en","type":"article","venue":"Operations Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bottleneck; Permutation (music); Computer science; Mathematical optimization; Permutation matrix; Separable space; Random permutation; Mathematics; Combinatorics; Algorithm; Symmetric group","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002920812,0.0001743904,0.000223605,0.0004091857,0.000926516,0.001150586,0.0003641953,0.0001099195,0.0003423425],"category_scores_gemma":[0.0009548671,0.0001705862,0.0001082901,0.001034948,0.0001641006,0.0008371764,0.0002926561,0.000364635,0.0002543801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003425458,"about_ca_system_score_gemma":0.0002049477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001172076,"about_ca_topic_score_gemma":0.0006458173,"domain_scores_codex":[0.9973985,0.0001679416,0.0004342135,0.0006301922,0.0008494248,0.0005197322],"domain_scores_gemma":[0.997593,0.0001067908,0.00003643507,0.0005959669,0.001627569,0.00004020271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001773518,0.002781199,0.003250918,0.002405734,0.000142775,0.00005788898,0.0006822913,0.1928604,0.04438724,0.6662846,0.08281673,0.00415286],"study_design_scores_gemma":[0.001268053,0.00002960716,0.0003757374,0.00004050532,0.00003857561,0.000006290872,0.003118942,0.9278048,0.0005740773,0.0009564757,0.06544621,0.000340759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1315215,0.0012299,0.4049604,0.01090182,0.00269834,0.01244837,0.0001275137,0.0009811429,0.435131],"genre_scores_gemma":[0.9826514,0.00001131143,0.00360787,0.0003526974,0.0009626141,0.001769411,0.000912891,0.00004360266,0.009688164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8511299,"threshold_uncertainty_score":0.9998863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1156772990458967,"score_gpt":0.3692594857794192,"score_spread":0.2535821867335226,"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."}}