{"id":"W2120552230","doi":"10.2139/ssrn.2373149","title":"How Superadditive Can a Risk Measure Be?","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Superadditivity; Measure (data warehouse); Risk measure; Business; Computer science; Mathematics; Economics; Financial economics; Mathematical economics; Data mining","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":[0.004291527,0.0001802484,0.0002509947,0.0002911157,0.0004852095,0.0009895896,0.000648179,0.0001059711,0.0004284835],"category_scores_gemma":[0.001930414,0.0001212737,0.0001883817,0.0006451184,0.00007013114,0.0009141055,0.0000384686,0.001644136,0.0001901693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003953069,"about_ca_system_score_gemma":0.001796485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004269138,"about_ca_topic_score_gemma":0.00268278,"domain_scores_codex":[0.9956777,0.0004112917,0.0004086278,0.0003233545,0.001371044,0.001807951],"domain_scores_gemma":[0.9979632,0.0002737494,0.000390716,0.0003366758,0.0008342367,0.0002013462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004777387,0.00009533379,0.04433225,4.690105e-7,0.0002476786,0.000008739268,0.001653731,0.0007179319,0.0002035021,0.04611836,0.03608618,0.870488],"study_design_scores_gemma":[0.0009458563,0.0004409453,0.01060021,0.000008353289,0.00005598777,0.000623635,0.01435173,0.002021607,0.0001855229,0.9221178,0.04825241,0.0003959551],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.820616,0.004098939,0.1267372,0.03864341,0.001066926,0.0006495525,0.00005913897,0.00009345614,0.008035367],"genre_scores_gemma":[0.9772882,0.008161469,0.0003150397,0.0002096555,0.0004098267,0.00001129971,0.00000541756,0.00001940838,0.0135797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8759995,"threshold_uncertainty_score":0.9542635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02658578206667801,"score_gpt":0.2812740760837648,"score_spread":0.2546882940170868,"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."}}