{"id":"W3128776309","doi":"10.2139/ssrn.3677078","title":"Robust Distortion Risk Measures","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Distortion (music); Computer science; Risk analysis (engineering); Business; 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":[0.004721608,0.001866834,0.001569217,0.00232112,0.0005166708,0.003893791,0.00154639,0.001980327,0.01054941],"category_scores_gemma":[0.02154697,0.0005324046,0.001306919,0.001581165,0.002200976,0.003982563,0.003118085,0.003445339,0.002970153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078652,"about_ca_system_score_gemma":0.001141119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005881041,"about_ca_topic_score_gemma":0.0002735226,"domain_scores_codex":[0.9964217,0.001131413,0.0001822604,0.0006448101,0.001360515,0.0002593048],"domain_scores_gemma":[0.9937214,0.002070713,0.0009169556,0.001719859,0.001253008,0.0003180639],"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":[0.0001098746,0.00003090969,0.000289952,0.000117548,0.0001074454,0.00005152464,0.00003750929,0.03328915,0.002727014,0.9141062,0.004556362,0.0445764],"study_design_scores_gemma":[0.00002649466,0.0001477798,0.0006743004,0.00007394861,0.00006486312,0.000268353,0.0000345053,0.1610956,0.004240114,0.8196405,0.01368283,0.00005080233],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01351504,0.002609332,0.9417779,0.001619355,0.0003392423,0.0000691625,0.0003482277,0.0003544118,0.03936728],"genre_scores_gemma":[0.7740709,0.004864262,0.1503299,0.001023332,0.0009132564,0.0002790499,0.001035254,0.0006781362,0.06680597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01054941,"threshold_uncertainty_score":0.03529137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08131184309446879,"score_gpt":0.306937773253136,"score_spread":0.2256259301586672,"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."}}