{"id":"W3127760775","doi":"10.1080/23302674.2021.1879305","title":"Multi-objective robust-stochastic optimisation of relief goods distribution under uncertainty: a real-life case study","year":2021,"lang":"en","type":"article","venue":"International Journal of Systems Science Operations & Logistics","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Operations research; Computer science; Schedule; Reachability; Flood myth; Robust optimization; Mode (computer interface); Equity (law); Stochastic programming; Mathematical optimization; Engineering; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001508023,0.0001405707,0.0002298073,0.000375166,0.0003159044,0.0005222354,0.0004390267,0.00004109952,0.00004820633],"category_scores_gemma":[0.001960543,0.0001274581,0.00007603764,0.0008454744,0.0002191619,0.001250529,0.0001662983,0.0001378849,0.00001492818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003828008,"about_ca_system_score_gemma":0.0005035833,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009443709,"about_ca_topic_score_gemma":0.003080682,"domain_scores_codex":[0.9975005,0.00005057559,0.0009865121,0.0002574109,0.001037312,0.0001677232],"domain_scores_gemma":[0.9933965,0.00005096515,0.0003760821,0.0002283741,0.005908032,0.00004009667],"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":[0.00001784089,0.000572692,0.0007365067,0.00002127629,0.00008557364,0.0001329328,0.00031074,0.9742396,0.0004141617,0.02317075,0.0001749048,0.0001230212],"study_design_scores_gemma":[0.000905593,0.00006076822,0.003815022,0.00008957447,0.0001235541,0.0002642388,0.03662154,0.9576966,0.00001665232,0.0001018693,0.0001329333,0.0001716753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4125848,0.00004647636,0.583278,0.0006338365,0.002883094,0.0003178226,0.0000439678,0.00001610526,0.0001959104],"genre_scores_gemma":[0.9983175,0.00001934619,0.0009468585,0.0001066219,0.0004122788,0.0000143562,0.00004796988,0.000007539385,0.0001275624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5857327,"threshold_uncertainty_score":0.9971525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07605434737317952,"score_gpt":0.3234464017933606,"score_spread":0.2473920544201811,"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."}}