{"id":"W3126041739","doi":"10.1017/asb.2014.5","title":"AN ACTUARIAL BALANCE SHEET MODEL FOR DEFINED BENEFIT PAY-AS-YOU-GO PENSION SYSTEMS WITH DISABILITY AND RETIREMENT CONTINGENCIES","year":2014,"lang":"en","type":"article","venue":"Astin Bulletin","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Solvency; Actuarial science; Pension; Social security; Balance sheet; Balance (ability); Pension plan; Asset (computer security); Economics; Disability insurance; Business; Finance; Computer science; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002508619,0.0002545278,0.0003759017,0.00004064193,0.0007844561,0.0002484634,0.0003224997,0.000121014,0.00005396171],"category_scores_gemma":[0.0003744022,0.0001995187,0.00007440984,0.0001359135,0.0006305416,0.0001070756,0.00007514499,0.0001292921,0.00001697242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008060358,"about_ca_system_score_gemma":0.00004346164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005369558,"about_ca_topic_score_gemma":0.004377547,"domain_scores_codex":[0.9974789,0.0002513975,0.0003927107,0.0006652692,0.0006489017,0.000562836],"domain_scores_gemma":[0.9986078,0.0002775638,0.0002301344,0.0004702369,0.000231897,0.0001823288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001160137,0.0006124761,0.7842324,0.000506486,0.0001356775,0.000004175002,0.009411811,0.008902377,0.0002745162,0.1716526,0.00877418,0.0143331],"study_design_scores_gemma":[0.006941822,0.002222505,0.4250762,0.0005912771,0.0004838961,0.000004098726,0.01035022,0.2694854,0.0001017775,0.01094884,0.2713047,0.002489239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800285,0.00008573811,0.008085268,0.003846474,0.0004992072,0.001813649,0.00003877516,0.0001882341,0.005414126],"genre_scores_gemma":[0.9948204,0.00004990422,0.003636661,0.0002131842,0.0003683455,0.0002144759,0.0000241404,0.00002781995,0.0006450283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3591562,"threshold_uncertainty_score":0.8136137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808491763809278,"score_gpt":0.2687883151123655,"score_spread":0.2507033974742727,"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."}}