{"id":"W4389805192","doi":"10.1007/s13385-023-00375-z","title":"Publisher Correction: A new approximation of annuity prices for age–period–cohort models","year":2023,"lang":"en","type":"article","venue":"European Actuarial Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Annuity; Mathematical finance; Economics; Period (music); Actuarial science; Econometrics; Cohort; Life annuity; Financial economics; Mathematics; Statistics; Finance; Philosophy","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":[0.004628811,0.001368692,0.001211749,0.003206436,0.00132621,0.003133434,0.003805402,0.003098286,0.1164963],"category_scores_gemma":[0.08116212,0.0007997047,0.002059832,0.003718352,0.0008927101,0.002976657,0.001528564,0.006187443,0.05859517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001997471,"about_ca_system_score_gemma":0.002435528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01209405,"about_ca_topic_score_gemma":0.01201339,"domain_scores_codex":[0.9970561,0.0007476572,0.0003584248,0.0004911881,0.00118689,0.0001596732],"domain_scores_gemma":[0.9693257,0.008785115,0.0009430371,0.00535416,0.01487072,0.0007212744],"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":[0.00006646195,0.00001261479,0.0003947144,0.0001387782,0.00005106824,0.0003240183,0.0000430609,0.002811093,0.0001465447,0.02047396,0.9477832,0.0277545],"study_design_scores_gemma":[0.0001015968,0.00003891257,0.001958385,0.0003097934,0.0001492888,0.001400292,0.00007002626,0.04016353,0.001131073,0.0507954,0.9037753,0.0001064724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.002703096,0.003457267,0.1498124,0.04364537,0.7523552,0.0001292396,0.01080418,0.003571431,0.03352173],"genre_scores_gemma":[0.08491413,0.005407033,0.1115529,0.01517588,0.1103714,0.000422524,0.009946957,0.007316427,0.6548928],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1164963,"threshold_uncertainty_score":0.389719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05389459926800517,"score_gpt":0.310918211576084,"score_spread":0.2570236123080789,"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."}}