{"id":"W3200513690","doi":"10.1017/asb.2021.18","title":"DIVERSIFICATION IN CATASTROPHE INSURANCE MARKETS","year":2021,"lang":"en","type":"article","venue":"Astin Bulletin","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Diversification (marketing strategy); Business; Exploit; Actuarial science","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":[0.001944022,0.0004858745,0.001003441,0.0006263114,0.0005635126,0.001362153,0.0006135298,0.001141352,0.004909595],"category_scores_gemma":[0.005167317,0.0002656575,0.0008059945,0.0003345333,0.001757905,0.001700514,0.001182245,0.0009672992,0.0001715416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000785819,"about_ca_system_score_gemma":0.0004367139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00218373,"about_ca_topic_score_gemma":0.0008107678,"domain_scores_codex":[0.9993501,0.0002833921,0.0000297429,0.0001024306,0.00006833223,0.0001659344],"domain_scores_gemma":[0.9963439,0.001432556,0.001097203,0.0001915394,0.0002675358,0.0006673165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003629021,0.0001842514,0.01332195,0.0001740543,0.000204551,0.001305821,0.0003293665,0.5918884,0.008314382,0.3690858,0.002802408,0.01202617],"study_design_scores_gemma":[0.0001250422,0.0001950332,0.005705869,0.00003052802,0.0000407979,0.0003168821,0.0002158357,0.7768472,0.0007554727,0.2145795,0.001146503,0.00004130796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8987419,0.0008738257,0.08727183,0.001211775,0.0000345297,0.00008144124,0.0001552692,0.00009315635,0.01153639],"genre_scores_gemma":[0.9976368,0.0001264808,0.001276196,0.00003195316,0.00001430591,0.00001370304,0.00002164837,0.000003032138,0.0008759102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004909595,"threshold_uncertainty_score":0.01642424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737199949049904,"score_gpt":0.1906571457092734,"score_spread":0.1732851462187744,"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."}}