{"id":"W2301966024","doi":"10.1002/9781119198130.ch3","title":"The Life Insurance Industry in Switzerland","year":2012,"lang":"en","type":"other","venue":"","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Insurance industry; Business; Life insurance; Distribution (mathematics); Rank (graph theory); Process (computing); Marketing; Actuarial science; Computer 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":[0.0002682198,0.0004254674,0.0001110419,0.001976711,0.0006223707,0.001860505,0.0001758042,0.0007065854,0.03364159],"category_scores_gemma":[0.0004538528,0.0001112755,0.0001763723,0.0017958,0.0003141075,0.001017382,0.0008158113,0.000371653,0.004826022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198034,"about_ca_system_score_gemma":0.0009719969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.012071,"about_ca_topic_score_gemma":0.01172735,"domain_scores_codex":[0.9996487,0.00005775896,0.00001292661,0.0000390357,0.0001523393,0.00008930982],"domain_scores_gemma":[0.9997718,0.00004749949,0.00005210653,0.00001250818,0.00005548193,0.00006060313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000143564,0.0001663925,0.02563241,0.0009508471,0.00002551704,0.002479838,0.003207146,0.004811417,0.005202236,0.1649683,0.2987373,0.493675],"study_design_scores_gemma":[0.000009710453,0.00007336132,0.09245684,0.0004590543,0.000006388691,0.001081167,0.001583103,0.001503853,0.0008388623,0.005193784,0.8967639,0.00003000573],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1490146,0.08697902,0.002806534,0.011514,0.0009706176,0.00006911015,0.00360622,0.0005627584,0.7444771],"genre_scores_gemma":[0.6593884,0.0677861,0.001786529,0.0007325872,0.001031779,0.00006736715,0.004042532,0.0001286213,0.265036],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03364159,"threshold_uncertainty_score":0.1125424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02278574768289645,"score_gpt":0.2104641475618338,"score_spread":0.1876783998789374,"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."}}