{"id":"W2588272059","doi":"","title":"FUZZY PORTFOLIO OPTIMIZATION MODEL WITH ESTIMATION OF RESULTS","year":2016,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Fuzzy logic; Variance (accounting); Portfolio; Reliability (semiconductor); Portfolio optimization; Mathematical optimization; Fuzzy number; Modern portfolio theory; Econometrics; Fuzzy set; Artificial intelligence; Mathematics; Economics; Finance","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":[0.002643486,0.00008523638,0.000200792,0.0001834066,0.00004862352,0.00005345414,0.0003621717,0.00003745796,0.0000246485],"category_scores_gemma":[0.0004456215,0.00003437844,0.00004165724,0.0002203402,0.00009805115,0.0003874899,0.00004605315,0.00008476641,0.000002034383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001404025,"about_ca_system_score_gemma":0.00004283603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002255008,"about_ca_topic_score_gemma":0.000005195828,"domain_scores_codex":[0.9983268,0.0001577103,0.0007550132,0.00009039295,0.0005807005,0.00008934113],"domain_scores_gemma":[0.9975265,0.0005909995,0.001134214,0.0002286809,0.0004770276,0.00004253621],"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":[0.0006281323,0.0000201843,0.0008018503,0.000001114783,0.00001924348,0.000001192075,0.001083685,0.9277664,0.00004714904,0.0008161545,0.003295605,0.06551927],"study_design_scores_gemma":[0.001284921,0.000458699,0.001811603,0.000320569,0.00006519397,0.0002299067,0.0003080454,0.982042,0.000675558,0.01237513,0.0003183428,0.0001100218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2181959,0.00009488464,0.7761307,0.001342071,0.00006198187,0.00004383229,0.000003760715,0.0000045439,0.004122254],"genre_scores_gemma":[0.9862049,0.0006168397,0.01172479,0.00008989873,0.00002874508,3.085599e-7,7.869356e-7,0.000006735445,0.001326999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7680089,"threshold_uncertainty_score":0.1401912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04340148594208759,"score_gpt":0.3151345873256494,"score_spread":0.2717331013835618,"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."}}