{"id":"W1990724129","doi":"10.5539/mas.v3n6p126","title":"One Type of Optimal Portfolio Selection in Birandom Environments","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Computer science; Selection (genetic algorithm); Mathematical optimization; Type (biology); Genetic algorithm; Order (exchange); Artificial intelligence; Machine learning; Mathematics; Finance; Economics","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":[0.0004407455,0.00006445906,0.0001425446,0.0001347057,0.00005298121,0.00001579815,0.0001379098,0.000038229,0.00001672323],"category_scores_gemma":[0.00003148874,0.00006335209,0.00001343652,0.0004897926,0.00006881474,0.0001045874,0.00001841034,0.00005482429,0.000005455207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006367318,"about_ca_system_score_gemma":0.00004201592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007797547,"about_ca_topic_score_gemma":0.000003054046,"domain_scores_codex":[0.9990692,0.000007781459,0.0002189644,0.0001999748,0.0003387403,0.0001653651],"domain_scores_gemma":[0.9997125,0.00001582366,0.00009968305,0.0001180167,0.00001808491,0.00003586064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008575513,0.0002743481,0.0003090027,0.00001515634,0.000002777002,4.951956e-7,0.0008990611,0.01824753,0.9614549,0.01373989,0.0000388132,0.004932293],"study_design_scores_gemma":[0.002580392,0.0002590884,0.0201563,0.00007295728,0.00002191643,0.00000503271,0.0001185521,0.7732929,0.1093551,0.09366678,0.000070325,0.000400618],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7869571,0.00001684247,0.2012438,0.00002123342,0.00003591059,0.0003507295,9.762064e-7,0.00002621108,0.01134721],"genre_scores_gemma":[0.9803426,0.000005621284,0.01945882,0.00001967578,0.00001360217,0.000004405037,7.066406e-7,0.0000051488,0.0001494567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8520997,"threshold_uncertainty_score":0.2583423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03859328881572918,"score_gpt":0.2833951118242939,"score_spread":0.2448018230085647,"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."}}