{"id":"W2899187568","doi":"10.1111/jori.12320","title":"Guaranteed renewable life insurance under demand uncertainty","year":2020,"lang":"en","type":"article","venue":"Journal of Risk & Insurance","topic":"Global Health Care Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Eidgenössische Technische Hochschule Zürich","keywords":"Unobservable; Imperfect; Life insurance; Economics; Actuarial science; Insurance policy; Auto insurance risk selection; Welfare; Population; Microeconomics; Casualty insurance; Econometrics","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":[0.001566827,0.0002983429,0.0009228087,0.0001060217,0.0006790638,0.00002113781,0.000598475,0.0002932396,0.0002030029],"category_scores_gemma":[0.00313534,0.0002413073,0.0002330693,0.0006813033,0.0001114601,0.0003578906,0.00009416195,0.001772666,0.0004414884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003354555,"about_ca_system_score_gemma":0.0009989948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138297,"about_ca_topic_score_gemma":0.0003680523,"domain_scores_codex":[0.9951435,0.001128744,0.001827282,0.0003169398,0.0008019566,0.0007816032],"domain_scores_gemma":[0.9945588,0.00110162,0.00213871,0.0003405375,0.001062013,0.0007982914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002459249,0.000118858,0.8452014,0.0006256768,0.0001475853,0.0001060895,0.01083532,0.02782831,0.0005096868,0.000379719,0.110847,0.0009410384],"study_design_scores_gemma":[0.004556971,0.000481039,0.8459038,0.001225676,0.00005459946,0.00003134647,0.005541581,0.0004497108,0.00008141482,0.001940874,0.1393548,0.0003782372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764603,0.01047561,0.001261294,0.006903619,0.002124623,0.0004429561,0.0002146287,0.0000840864,0.002032827],"genre_scores_gemma":[0.9807844,0.00363538,0.001040655,0.01279171,0.001602296,0.000009073716,0.000002431222,0.00004400839,0.00009005006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02850777,"threshold_uncertainty_score":0.9840227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05116106229565614,"score_gpt":0.3809788565861247,"score_spread":0.3298177942904686,"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."}}