{"id":"W7100256753","doi":"","title":"Preliminary Are All Americans Saving ‘Optimally ’ for Retirement?","year":2009,"lang":"en","type":"article","venue":"","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Government (linguistics); Agency (philosophy); Social security; Quarter (Canadian coin); Public opinion; Public policy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002612702,0.0002168391,0.0004562456,0.0009541975,0.00168296,0.003312884,0.0006445957,0.001585222,0.01378008],"category_scores_gemma":[0.01772868,0.0002997098,0.0004710278,0.00158829,0.00122787,0.006188401,0.001145552,0.002049966,0.001909754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007099826,"about_ca_system_score_gemma":0.001358869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01723568,"about_ca_topic_score_gemma":0.02129068,"domain_scores_codex":[0.998555,0.0005793576,0.00008149252,0.0002736394,0.0001555375,0.0003548452],"domain_scores_gemma":[0.9945768,0.001313987,0.002067108,0.0003866422,0.0008431188,0.0008122745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004962985,0.0003380243,0.7509134,0.000346738,0.0003576063,0.0004943212,0.03733674,0.0001528839,0.000212784,0.01297706,0.0785833,0.1177908],"study_design_scores_gemma":[0.00004017852,0.0002136411,0.7347139,0.0005174489,0.0003577473,0.0003750366,0.176591,0.0003244981,0.0002914632,0.02587398,0.06062956,0.00007166162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8424266,0.005673633,0.0004896998,0.1099821,0.000693531,0.00005202319,0.002258409,0.00001841253,0.03840555],"genre_scores_gemma":[0.9831761,0.001884712,0.0001500898,0.01056273,0.000355793,0.00005048528,0.0007431012,0.000008088274,0.003068915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01723568,"threshold_uncertainty_score":0.04609901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03100229203499845,"score_gpt":0.2635475210653281,"score_spread":0.2325452290303296,"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."}}