{"id":"W3122834476","doi":"10.1057/s41288-020-00194-3","title":"Pricing dynamics in the market for catastrophe bonds","year":2020,"lang":"en","type":"article","venue":"The Geneva Papers on Risk and Insurance Issues and Practice","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Market liquidity; Bond; Economics; Reinsurance; Financial market; Monetary economics; Financial economics; Financial crisis; Habit; Bond market; Consumption (sociology); Actuarial science; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.001580075,0.0001595988,0.0002598684,0.00003766978,0.0003526082,0.0001312345,0.0002228478,0.00004624988,0.00001363833],"category_scores_gemma":[0.0007536927,0.0001117196,0.00004570833,0.0002048001,0.00007819691,0.0002246832,0.00004221659,0.0002431308,0.00001799009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002566486,"about_ca_system_score_gemma":0.000006472661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008235984,"about_ca_topic_score_gemma":0.0001427889,"domain_scores_codex":[0.9989345,0.00009168027,0.0003298881,0.000338122,0.00005776922,0.0002480058],"domain_scores_gemma":[0.9987227,0.000711168,0.0002748228,0.0002360311,0.00001585454,0.00003947607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004302747,0.0003212923,0.166907,0.0003580887,0.0002191788,0.00002796784,0.026197,0.001093878,0.00002953049,0.4766884,0.0160164,0.3078385],"study_design_scores_gemma":[0.0006932713,0.0003216728,0.08040296,0.00001461731,0.00002107843,0.000005424823,0.003433202,0.005515235,0.000003987529,0.002775195,0.9066131,0.0002002714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6193694,0.04832892,0.001787419,0.1063693,0.0004934761,0.002332726,0.0009776123,0.00005876973,0.2202823],"genre_scores_gemma":[0.9274076,0.06519534,0.0005755423,0.006343543,0.0001870357,0.00005690234,0.000008245355,0.00001660292,0.0002091475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8905967,"threshold_uncertainty_score":0.4555792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473700242452347,"score_gpt":0.2499330897014877,"score_spread":0.2251960872769642,"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."}}