{"id":"W7100185944","doi":"","title":"On Portfolio Separation Theorems with Heterogeneous Beliefs and Attitudes towards Risk","year":2008,"lang":"en","type":"article","venue":"","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Separation (statistics); Empirical research; Mutual fund separation theorem","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006638298,0.0001536798,0.0002037929,0.0001959332,0.0003238075,0.0001349511,0.0001832055,0.00007074785,0.0004703575],"category_scores_gemma":[0.0002117585,0.00008732054,0.00004615599,0.0003998629,0.0001518124,0.0002744313,0.00003530324,0.00008650614,0.0001539939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001356372,"about_ca_system_score_gemma":0.00005985917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000129938,"about_ca_topic_score_gemma":0.00009386255,"domain_scores_codex":[0.9980585,0.0001059371,0.0003411775,0.0004274655,0.0008904565,0.0001764765],"domain_scores_gemma":[0.9988863,0.0002136818,0.0001930708,0.0003992529,0.0001888231,0.0001187969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006372372,0.0003847465,0.644626,0.000002678333,0.0001114909,0.0002055576,0.002673727,0.1567802,0.00007143881,0.02530752,0.02692206,0.1422774],"study_design_scores_gemma":[0.002460131,0.00282367,0.8748429,0.00002978047,0.00006553763,0.001215263,0.000226906,0.03429862,0.005909515,0.05162178,0.02536091,0.001144933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9304915,0.000127613,0.02671755,0.0001044124,0.00009321735,0.0001810255,0.000008218705,0.00006727474,0.0422092],"genre_scores_gemma":[0.9909942,0.001513753,0.002457227,0.0002495236,0.00006174386,0.000007859941,0.00000766393,0.00001177757,0.004696249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.230217,"threshold_uncertainty_score":0.5150085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05011651526191981,"score_gpt":0.3509335784180551,"score_spread":0.3008170631561353,"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."}}