{"id":"W6908336554","doi":"10.25728/assa.2022.22.1.1004","title":"Evolutionary Game to Model Risk Appetite of Individual Investors","year":2022,"lang":"en","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Investment (military); Set (abstract data type); Investment strategy; Evolutionarily stable strategy; Risk appetite; Investment decisions; Evolutionary game theory","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":[0.0003139852,0.0001143767,0.0003037144,0.0003054344,0.000235382,0.0000784851,0.000208949,0.00002953148,0.0003686589],"category_scores_gemma":[0.00007810439,0.0001405783,0.0002118859,0.0005585141,0.00002542016,0.0002883094,0.0001432569,0.00005785952,0.00002044862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001903817,"about_ca_system_score_gemma":0.00004375094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005106844,"about_ca_topic_score_gemma":0.000006889311,"domain_scores_codex":[0.9987846,0.00001027047,0.0005886542,0.0003047416,0.0001248135,0.0001869207],"domain_scores_gemma":[0.9992489,0.00001581876,0.0003943166,0.0002277705,0.00003257518,0.00008067106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008810827,0.0001290956,0.01636254,0.00005944557,0.0002140093,5.635284e-7,0.001833239,0.3292125,0.000005487822,0.6449795,0.003125583,0.003989925],"study_design_scores_gemma":[0.00107054,0.0007295431,0.0319648,0.00002733652,0.00005766853,0.000003808553,0.000406043,0.2089311,0.00001526987,0.3290507,0.427012,0.000731177],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09165815,0.0009514956,0.8411249,0.0002377424,0.0002518881,0.000700907,0.03901861,0.0000547659,0.02600152],"genre_scores_gemma":[0.9964681,0.00001529918,0.001474332,0.00003291568,0.00004230649,0.00008107079,0.0004909291,0.00002512723,0.001369901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.90481,"threshold_uncertainty_score":0.5732616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02393225769644512,"score_gpt":0.2133414087406827,"score_spread":0.1894091510442376,"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."}}