{"id":"W2031728167","doi":"10.1080/10920277.2011.10597621","title":"Mortality Regimes and Pricing","year":2011,"lang":"en","type":"article","venue":"North American Actuarial Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Econometrics; Mortality rate; Markov chain; Economics; Population; Computer science; Statistics; Mathematics; Demography","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":[0.001168045,0.0001809808,0.0003155715,0.0001893389,0.0009657007,0.000199019,0.0003847363,0.00004102261,0.0001933306],"category_scores_gemma":[0.0001687246,0.0001654714,0.0001360672,0.0005854572,0.001205641,0.0004232792,0.00007426937,0.0003845575,0.00001713638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008164618,"about_ca_system_score_gemma":0.0001814322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01575207,"about_ca_topic_score_gemma":0.01139875,"domain_scores_codex":[0.9977009,0.0003698447,0.0003886198,0.0002806396,0.0006848359,0.0005751792],"domain_scores_gemma":[0.9986922,0.00005884346,0.0005047018,0.0002342205,0.0001385149,0.0003714791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004633501,0.00006575254,0.9153226,0.000004135114,0.0001272474,0.0000603202,0.0107695,0.000001948788,0.000002428311,0.002249084,0.0007675852,0.07058303],"study_design_scores_gemma":[0.0002666741,0.0001104312,0.9781712,0.000008477083,0.0000831845,0.00001165014,0.003875286,0.000005561335,0.000006616664,0.0009234424,0.01631434,0.0002231637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9434608,0.00006773723,0.0006820311,0.0002080215,0.0009049584,0.0002149854,0.000004188504,0.00007619714,0.05438109],"genre_scores_gemma":[0.9956262,0.0009104381,0.001810726,0.0004119181,0.001087297,0.000005353721,0.000001215245,0.00001690004,0.0001299133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07035986,"threshold_uncertainty_score":0.9908021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04208927077341051,"score_gpt":0.2999988769039916,"score_spread":0.2579096061305811,"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."}}