{"id":"W1542774096","doi":"","title":"Do the Rich Save More in Canada","year":2006,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; McMaster University","keywords":"Proxy (statistics); Construct (python library); Economics; Demographic economics; Low income; Income elasticity of demand; Econometrics; Statistics; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005702518,0.0001832946,0.0003938892,0.001368028,0.004978957,0.00242733,0.0008708294,0.0004727738,0.0110593],"category_scores_gemma":[0.003272713,0.0001766166,0.00032083,0.002977537,0.001194341,0.0009616439,0.001433206,0.0009733842,0.0005374305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04343975,"about_ca_system_score_gemma":0.05825192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962966,"about_ca_topic_score_gemma":0.9985567,"domain_scores_codex":[0.9992405,0.00003421347,0.0000170811,0.0000569508,0.0001839294,0.0004674225],"domain_scores_gemma":[0.9984227,0.00007884926,0.0002528845,0.00006064402,0.0004909035,0.0006938808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007473057,0.0001551148,0.681785,0.0003059029,0.0002556709,0.0008350746,0.01294777,0.001602861,0.0007099644,0.03682965,0.1161085,0.1477171],"study_design_scores_gemma":[0.00007276151,0.00004892847,0.8815421,0.0002925702,0.0001339974,0.0002003324,0.0161389,0.0009541587,0.0004705345,0.004293847,0.09576148,0.00009049878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9045277,0.004801304,0.0001865531,0.02645382,0.0001646541,0.00005122101,0.01018673,0.00005343257,0.05357457],"genre_scores_gemma":[0.9796438,0.002422259,0.0001344242,0.001944926,0.00002394507,0.000009938563,0.001781335,0.00001983373,0.01401962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04343975,"threshold_uncertainty_score":0.3151789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119729725406952,"score_gpt":0.2105231380751847,"score_spread":0.1993258408211152,"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."}}