{"id":"W1525664194","doi":"10.1111/j.1749-6632.2009.05320.x","title":"Chapter 6: Insurance industry","year":2010,"lang":"en","type":"article","venue":"Annals of the New York Academy of Sciences","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Insurance industry; Business; 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":[0.001042412,0.0006130951,0.000390799,0.00239617,0.002511755,0.006563438,0.0008648117,0.00303008,0.1865759],"category_scores_gemma":[0.002384074,0.0003377684,0.0004856699,0.002757439,0.000795053,0.005241956,0.002282517,0.003420662,0.04639985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003073877,"about_ca_system_score_gemma":0.003596592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005654485,"about_ca_topic_score_gemma":0.007036114,"domain_scores_codex":[0.9987962,0.0001570602,0.00006596742,0.0001733812,0.0006273258,0.0001800515],"domain_scores_gemma":[0.9989372,0.0002428219,0.0000950897,0.00007477127,0.0004343569,0.0002156299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002402665,0.0001115008,0.0009144424,0.0005821147,0.000005076752,0.0001127164,0.000766007,0.000368861,0.000400484,0.238016,0.6016236,0.1570751],"study_design_scores_gemma":[0.000001614093,0.00001266261,0.0005818979,0.0005448038,0.000001148368,0.00005607674,0.0002248907,0.00006539139,0.00005682982,0.006004556,0.9924465,0.000003687438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002066168,0.0607808,0.001669051,0.02044951,0.004109325,0.0001719729,0.0009406729,0.0001673798,0.9096451],"genre_scores_gemma":[0.02748373,0.1247231,0.002552941,0.01032912,0.006347161,0.0002533002,0.002605599,0.0001472353,0.8255578],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1865759,"threshold_uncertainty_score":0.6241586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028759740606838,"score_gpt":0.2945159960558622,"score_spread":0.1916400219951784,"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."}}