{"id":"W2153245253","doi":"10.5267/j.msl.2011.12.014","title":"A multi-objective robust optimization model for the capacitated P-hub location problem under uncertainty","year":2012,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Robust optimization; Mathematical optimization; Operations research; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007011297,0.0001211445,0.00007191792,0.0001197986,0.0003040785,0.00009585989,0.0002472201,0.00002655466,0.000004178878],"category_scores_gemma":[0.00002665772,0.00009308793,0.00003009889,0.0006941225,0.0002073011,0.0007919153,0.00003630833,0.0000666358,0.000005225254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003243172,"about_ca_system_score_gemma":0.000006229395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001643491,"about_ca_topic_score_gemma":0.000007712598,"domain_scores_codex":[0.9989961,0.00001234415,0.0001566912,0.0002082042,0.0002169287,0.0004097439],"domain_scores_gemma":[0.9995795,0.00003256487,0.00004072431,0.0002361722,0.0000634329,0.0000475436],"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":[0.000004690204,0.00002061169,0.00004356598,0.00004825629,0.00001612805,3.728657e-8,0.0008242496,0.9963734,0.0004599442,0.00112164,0.0007052851,0.0003821867],"study_design_scores_gemma":[0.0002485399,0.000005069226,0.0004892861,0.00001726531,0.00002780452,2.93437e-7,0.0005599813,0.998338,0.00006350452,0.00006229509,0.0000581084,0.0001298595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002224379,0.00002414279,0.9943229,0.001611736,0.0002734911,0.001104412,0.000002396405,0.0001507914,0.0002857538],"genre_scores_gemma":[0.7380223,0.0000347617,0.2604685,0.0009690736,0.00003028661,0.0003211938,0.00001275342,0.00001747072,0.0001236896],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7357979,"threshold_uncertainty_score":0.3796015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238090355653857,"score_gpt":0.2242412586068319,"score_spread":0.2018603550502933,"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."}}