{"id":"W2164471732","doi":"","title":"Economics of Insurance against Natural Catastrophes: Over-Burdened Arab Insurers","year":2012,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reinsurance; Actuarial science; Natural disaster; Natural (archaeology); Economics; Natural experiment; Business; Development economics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006508757,0.0001887363,0.0003240717,0.0005459959,0.0002979587,0.001046602,0.0002309476,0.001098385,0.002266292],"category_scores_gemma":[0.002233171,0.0001340854,0.0002716116,0.0004458774,0.0005081139,0.001100857,0.0004826739,0.0008079769,0.0001117732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322262,"about_ca_system_score_gemma":0.0008627594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004652857,"about_ca_topic_score_gemma":0.003459976,"domain_scores_codex":[0.99975,0.0001258302,0.000009338544,0.00001987496,0.00004811825,0.00004685755],"domain_scores_gemma":[0.9991705,0.0003552875,0.0002766019,0.00001827506,0.00009664537,0.00008278312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006252515,0.0006643027,0.1321199,0.001243835,0.0004684737,0.00322448,0.0009692727,0.07651434,0.002667444,0.6151319,0.03104172,0.135329],"study_design_scores_gemma":[0.0001584557,0.001112339,0.2510397,0.00173916,0.0004639187,0.003302645,0.006309712,0.1055311,0.00123574,0.5690471,0.05992609,0.0001340623],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7755468,0.1040954,0.01181768,0.06169946,0.0003434595,0.00005580835,0.0005198833,0.00002043931,0.04590101],"genre_scores_gemma":[0.9752704,0.02020968,0.0003687911,0.0004451156,0.0002795082,0.000009510626,0.00004517272,0.000001726527,0.003370122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004652857,"threshold_uncertainty_score":0.009593785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543109626075674,"score_gpt":0.2123884981626143,"score_spread":0.1969574019018575,"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."}}