{"id":"W4200289881","doi":"10.26845/kjfs.2021.12.50.6.557","title":"Why do Fund Managers Increase the Lottery-Like Characteristics of the Fund?","year":2021,"lang":"en","type":"article","venue":"Korean Journal of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lottery; Manager of managers fund; Business; Mutual fund; Fund administration; Closed-end fund; Income fund; Target date fund; Open-end fund; Quarter (Canadian coin); Fund of funds; Finance; Actuarial science; Economics; Institutional investor; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001254501,0.0001582311,0.0002024981,0.0006088075,0.0003091136,0.0008840401,0.0002364722,0.0006767423,0.003178949],"category_scores_gemma":[0.01328907,0.0001205466,0.0001651382,0.0002905531,0.0003793825,0.0008508522,0.0003540315,0.0004180934,0.0003165875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003234686,"about_ca_system_score_gemma":0.000351476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009008706,"about_ca_topic_score_gemma":0.001714442,"domain_scores_codex":[0.9995492,0.0001479996,0.00004441287,0.00007731729,0.00009110333,0.00008983034],"domain_scores_gemma":[0.9845025,0.002982325,0.009635958,0.0005621996,0.0005893217,0.001727709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002492421,0.000246695,0.9594709,0.00006237574,0.00009502334,0.0002111759,0.0009354823,0.0001949682,0.002354312,0.001071931,0.001105147,0.03400269],"study_design_scores_gemma":[0.00002302861,0.0001738368,0.9938704,0.00002077832,0.00003240356,0.0002211188,0.001258575,0.000576408,0.0006360402,0.001651809,0.001521818,0.00001370344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965223,0.0002231126,0.0003574599,0.0009380052,0.00001783448,0.00001400451,0.00005127494,0.000009662028,0.001866394],"genre_scores_gemma":[0.9990391,0.00007467371,0.0002058864,0.000164538,0.00002349627,0.000005656352,0.0000287455,0.000001615893,0.0004564133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003178949,"threshold_uncertainty_score":0.01063466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05304830059597707,"score_gpt":0.2392302792490963,"score_spread":0.1861819786531192,"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."}}