{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003148574,0.0001002895,0.000205233,0.00009969166,0.00006526493,0.00003609661,0.000151851,0.00005408558,0.001429363],"category_scores_gemma":[0.0001788324,0.0001342495,0.00005373198,0.0002942549,0.00002786065,0.00005448831,0.00007518555,0.0001231818,0.004528688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006789606,"about_ca_system_score_gemma":0.000011716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000236639,"about_ca_topic_score_gemma":0.00003564656,"domain_scores_codex":[0.9989665,0.00001813618,0.0003718479,0.0003625262,0.00003603407,0.0002449916],"domain_scores_gemma":[0.9994983,0.00002848396,0.0001344945,0.0002752948,0.00003168304,0.00003170786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005216135,0.0002367598,0.8528118,0.00004759158,0.00001757511,0.0001233186,0.000273292,0.0001401219,0.00003814245,0.100245,0.02080248,0.02521178],"study_design_scores_gemma":[0.0003561153,0.000009851124,0.6094321,0.00001920701,9.188305e-7,0.00000148259,0.00006510872,0.00004110197,0.00006321535,0.001383477,0.3885069,0.0001205211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8327211,0.00400258,0.003210476,0.005398023,0.0007602133,0.0002410389,0.0001996695,0.00004089121,0.153426],"genre_scores_gemma":[0.9935504,0.0006116377,0.00134293,0.0003385122,0.00006846716,0.00002579735,0.00003415626,0.00001254226,0.004015588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3677044,"threshold_uncertainty_score":0.9994835,"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."}}