{"id":"W2164884848","doi":"10.1109/icsmc.2009.5346731","title":"Fuzzy random facility location problems with recourse","year":2009,"lang":"en","type":"article","venue":"","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Randomness; Mathematical optimization; Fuzzy logic; Facility location problem; Computer science; Fuzzy number; Particle swarm optimization; Mathematics; Fuzzy set; Artificial intelligence; Statistics","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":[0.001997578,0.0009206653,0.002083674,0.0007427856,0.0004235317,0.001539216,0.001587476,0.002227529,0.002331309],"category_scores_gemma":[0.004332798,0.0009037624,0.001492135,0.001077386,0.001368714,0.001552774,0.00110152,0.001214733,0.0002216591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001836922,"about_ca_system_score_gemma":0.001201166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009735396,"about_ca_topic_score_gemma":0.00465043,"domain_scores_codex":[0.9985797,0.0007157489,0.00005083827,0.0002653803,0.0001992442,0.0001890001],"domain_scores_gemma":[0.9974897,0.001789307,0.000305723,0.0001106313,0.0002052529,0.00009936926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003038008,0.000009362495,0.0001011868,0.00002589297,0.00001948296,0.00007958151,0.00001338462,0.9831507,0.0001592615,0.01470651,0.0001085549,0.001595787],"study_design_scores_gemma":[0.00001240266,0.00001334542,0.00003949616,0.000002590169,0.000004828912,0.00001402339,0.000006858746,0.9934462,0.00008147359,0.006243563,0.0001296494,0.000005615119],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04634131,0.0005442773,0.9498456,0.000371799,0.00003480942,0.00004560739,0.00009571345,0.0001128335,0.002608097],"genre_scores_gemma":[0.9013858,0.0004374973,0.09003615,0.00008535319,0.00003926432,0.0001854507,0.0001569814,0.00004576372,0.007627723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009735396,"threshold_uncertainty_score":0.0193575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02849412620888753,"score_gpt":0.2615303005622989,"score_spread":0.2330361743534113,"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."}}