{"id":"W2301921224","doi":"","title":"Bancassurance: Leveraging on the Synergy between Banking and Insurance Industry","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bancassurance; Leverage (statistics); Business; Insurance industry; Work (physics); Banking industry; Life insurance; Commerce; Finance; Key person insurance; Industrial organization; Insurance policy; Risk pool; Actuarial science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00149896,0.0004364255,0.0003344227,0.00158373,0.001122791,0.003873251,0.0007326601,0.001227279,0.005884415],"category_scores_gemma":[0.002754886,0.0002184915,0.0003810319,0.001101912,0.001771708,0.004679383,0.005752349,0.001291718,0.0008670808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012805,"about_ca_system_score_gemma":0.002158819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001320401,"about_ca_topic_score_gemma":0.002737786,"domain_scores_codex":[0.9989105,0.0003838937,0.00002831628,0.0001220227,0.0003411281,0.0002140082],"domain_scores_gemma":[0.9979669,0.0006181056,0.0003323803,0.0003144616,0.0002602375,0.0005078926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008767743,0.001165785,0.04094503,0.000525094,0.0001555516,0.002951795,0.002667115,0.01015533,0.03130265,0.4967465,0.007961548,0.4045469],"study_design_scores_gemma":[0.0004336784,0.002950608,0.08566779,0.001377403,0.0004792748,0.005931151,0.007844488,0.07585761,0.02657099,0.4643641,0.3281581,0.000364748],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5231367,0.004455756,0.06371862,0.01284739,0.0001992649,0.000257894,0.00009799359,0.0006770494,0.3946094],"genre_scores_gemma":[0.9862291,0.0008410435,0.008145193,0.0002604567,0.00008406911,0.00002075644,0.00003739663,0.00001139152,0.004370584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005884415,"threshold_uncertainty_score":0.01968533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709386410957024,"score_gpt":0.2117940122107329,"score_spread":0.1947001481011626,"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."}}