{"id":"W1992132077","doi":"10.1007/s13385-014-0098-8","title":"Sustainable retirement spending: the Czech case","year":2014,"lang":"en","type":"article","venue":"European Actuarial Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cytodiagnostics (Canada)","funders":"Grantová Agentura České Republiky","keywords":"Economics; Czech; Rate of return; Econometrics; Asset allocation; Pension; Longevity risk; Investment (military); Asset (computer security); Portfolio; Volatility (finance); Investment strategy; Retirement planning; Geometric Brownian motion; Actuarial science; Financial economics; Microeconomics; Finance; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01111143,0.000183865,0.0001754383,0.000151327,0.003547616,0.001050582,0.0008325353,0.0000395591,0.0006676642],"category_scores_gemma":[0.000632379,0.0001329981,0.0002032431,0.0003463959,0.0003443628,0.0003491408,0.0002081087,0.0005473031,0.0002820568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002268245,"about_ca_system_score_gemma":0.00007818062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001012116,"about_ca_topic_score_gemma":0.0004300461,"domain_scores_codex":[0.9949965,0.002675758,0.0004421672,0.0002539606,0.0008527145,0.0007788282],"domain_scores_gemma":[0.9987178,0.0001405565,0.0003226462,0.000388321,0.0001750355,0.0002555731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000193343,0.0003585416,0.01706306,0.00004584402,0.0003870369,0.02103997,0.04803976,0.0002159271,0.0000748,0.6472526,0.1539271,0.1114021],"study_design_scores_gemma":[0.0006369304,0.0001011701,0.007127622,0.00001786925,0.00007109575,0.0003286695,0.01547845,0.00002496338,0.00001393347,0.00358679,0.9723742,0.0002383079],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2598178,0.0001191467,0.002381301,0.004046058,0.003690926,0.0005706089,0.000001797048,0.0001328413,0.7292395],"genre_scores_gemma":[0.986871,0.0001905624,0.0002149662,0.0004924719,0.005101574,0.000002312451,9.753735e-7,0.00003459935,0.007091547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8184472,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02300992361121341,"score_gpt":0.2919752190649144,"score_spread":0.268965295453701,"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."}}