{"id":"W3035455029","doi":"10.1017/asb.2020.14","title":"DISTORTION RISKMETRICS ON GENERAL SPACES","year":2020,"lang":"en","type":"article","venue":"Astin Bulletin","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Distortion (music); Convexity; Class (philosophy); Choquet integral; Mathematical economics; Mathematics; Computer science; Econometrics; Economics; Artificial intelligence; Financial economics; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003069374,0.0008577993,0.0009758655,0.002169536,0.0007229563,0.002996975,0.0009639413,0.0007520108,0.002699711],"category_scores_gemma":[0.011214,0.0002739007,0.0009549641,0.001617102,0.003758714,0.004196607,0.003102557,0.001961631,0.0002126763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002618513,"about_ca_system_score_gemma":0.0008806796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441058,"about_ca_topic_score_gemma":0.0006076101,"domain_scores_codex":[0.9976927,0.0006519896,0.0001377579,0.0004758222,0.0008507149,0.0001910694],"domain_scores_gemma":[0.9950163,0.002043069,0.0007853991,0.0006629323,0.0009655815,0.0005268629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002166572,0.00001155892,0.0005696162,0.0000346034,0.00001684431,0.0000488477,0.00007278904,0.01311746,0.0007182243,0.9797323,0.0004985412,0.005157638],"study_design_scores_gemma":[0.000007860682,0.00003052575,0.0005473407,0.00001689558,0.000007439328,0.0001305239,0.00005947477,0.0760886,0.0004866456,0.9196107,0.003000275,0.0000136935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2181921,0.003267559,0.7409163,0.00161246,0.0002009851,0.00009601362,0.0004136593,0.0001448266,0.03515613],"genre_scores_gemma":[0.9508162,0.001330579,0.04056356,0.0002036721,0.0001641132,0.00008961253,0.0002526366,0.00004774524,0.00653189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003069374,"threshold_uncertainty_score":0.01899868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1179184651668634,"score_gpt":0.3464442253482551,"score_spread":0.2285257601813917,"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."}}