{"id":"W4391656247","doi":"10.1016/j.ejor.2024.02.002","title":"Robust insurance design with distortion risk measures","year":2024,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Computer science; Risk management; Actuarial science; Distortion (music); Risk measure; Risk analysis (engineering); Econometrics; Mathematics; Business; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004523791,0.001513467,0.002103592,0.0007361587,0.0002776159,0.002376881,0.001734388,0.001900375,0.002759881],"category_scores_gemma":[0.01133174,0.0007439133,0.0009283234,0.0007075014,0.001460052,0.002194783,0.001818856,0.001765585,0.0004462484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001940312,"about_ca_system_score_gemma":0.001185209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001537055,"about_ca_topic_score_gemma":0.0005041896,"domain_scores_codex":[0.9977639,0.00101245,0.00009503419,0.0004127735,0.0004884666,0.0002273776],"domain_scores_gemma":[0.9963387,0.002324833,0.000513535,0.0002521925,0.0003763457,0.0001943265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001933158,0.00004055719,0.0004767813,0.0001826061,0.00008957636,0.000129125,0.00006911759,0.8484553,0.002329755,0.1280289,0.000824709,0.01918025],"study_design_scores_gemma":[0.00002380166,0.00009288443,0.000122607,0.00002000195,0.00001941353,0.00004766966,0.00001103711,0.960646,0.0006444943,0.03766139,0.0006945102,0.00001619534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01210616,0.0009182478,0.9831836,0.000364384,0.00003560739,0.00003513588,0.0000572262,0.00007673568,0.003222886],"genre_scores_gemma":[0.9021795,0.001348341,0.08979087,0.0001743599,0.0000951462,0.000130476,0.0001264635,0.00008879823,0.00606594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004523791,"threshold_uncertainty_score":0.02392441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.378339752836445,"score_gpt":0.4313619118091266,"score_spread":0.05302215897268159,"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."}}