{"id":"W1984472815","doi":"10.1007/s00500-014-1361-2","title":"Uncertain random multilevel programming with application to production control problem","year":2014,"lang":"en","type":"article","venue":"Soft Computing","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McGill University; Fundamental Research Funds for the Central Universities; National Science Foundation","keywords":"Mathematical optimization; Computer science; Stochastic programming; Production (economics); Random search; Genetic programming; Control (management); Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001760979,0.0005942882,0.001434119,0.0007437199,0.0005700075,0.001232224,0.001079671,0.001338955,0.002999756],"category_scores_gemma":[0.006398098,0.0004816086,0.001069904,0.001324545,0.0007715987,0.001072926,0.001435603,0.001596634,0.0001543504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007546634,"about_ca_system_score_gemma":0.0007229869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002453529,"about_ca_topic_score_gemma":0.001915499,"domain_scores_codex":[0.9992963,0.0004169293,0.00002810063,0.00008587132,0.0001179614,0.00005478616],"domain_scores_gemma":[0.9964888,0.002783052,0.0002625515,0.00009395167,0.000255542,0.0001162053],"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":[0.00006204718,0.00005105736,0.0003499718,0.0001680869,0.00005427068,0.0001336282,0.00006105028,0.8491772,0.0007401517,0.1247889,0.001122411,0.02329122],"study_design_scores_gemma":[0.000003492827,0.00001644317,0.00004875884,0.00000497667,0.000005818577,0.000007352222,0.000005799741,0.9836941,0.00008519286,0.01592446,0.0001999118,0.000003698252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02038705,0.0005960629,0.9741519,0.0007579369,0.00007742646,0.00002763889,0.00005868405,0.00006327401,0.003880096],"genre_scores_gemma":[0.7605032,0.0009924327,0.2328163,0.0001994658,0.0001986394,0.0001923182,0.0001096295,0.00009373965,0.004894309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002999756,"threshold_uncertainty_score":0.01003516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407529687584623,"score_gpt":0.2624798376636632,"score_spread":0.248404540787817,"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."}}