{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003065896,0.00009133525,0.0001505687,0.00003155532,0.00005460161,0.00003206823,0.00005410195,0.00005178628,0.00005869706],"category_scores_gemma":[0.00007434395,0.00006014206,0.00002269303,0.0001552326,0.00001316054,0.0001351627,0.000003616738,0.00004971537,0.00003052327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002811335,"about_ca_system_score_gemma":0.00002959036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003120748,"about_ca_topic_score_gemma":0.00008363443,"domain_scores_codex":[0.9993328,0.00003672341,0.0002050518,0.0001497319,0.0001561495,0.0001195725],"domain_scores_gemma":[0.9994535,0.00004651216,0.00007917268,0.0002247154,0.0001538855,0.00004220462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002556847,0.004417402,0.009701537,0.002692701,0.0004069832,0.00002800547,0.01577653,0.08293224,0.001945545,0.5172721,0.1927388,0.1695312],"study_design_scores_gemma":[0.032115,0.002967271,0.01036298,0.001136541,0.0003757893,0.0001506299,0.002775426,0.0472655,0.003635989,0.8827421,0.01373867,0.002734071],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1414848,0.0001601472,0.5706224,0.002920479,0.0002148795,0.002868006,0.00001814576,0.0008054555,0.2809058],"genre_scores_gemma":[0.9767301,0.000005832593,0.01806578,0.00008121144,0.00004083109,0.00001892492,0.00001766081,0.000006482814,0.005033136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8352454,"threshold_uncertainty_score":0.2452522,"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."}}