{"id":"W1487703055","doi":"","title":"Precautionary Wealth and Portfolio Allocation: Evidence from Canadian Microdata","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Portfolio; Portfolio allocation; Economics; Precautionary savings; Financial market; Survey data collection; Empirical evidence; Labour economics; Financial economics; Monetary economics; Finance; Market liquidity","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001660616,0.0003530999,0.000508783,0.00131379,0.0003638067,0.0006144062,0.0008681273,0.0003649035,0.0006734692],"category_scores_gemma":[0.0007008116,0.0004140013,0.0001176348,0.000375755,0.0002369455,0.000889489,0.001532698,0.0009980542,0.000104409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486004,"about_ca_system_score_gemma":0.001791229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3670749,"about_ca_topic_score_gemma":0.415563,"domain_scores_codex":[0.9968364,0.00006064092,0.0007351819,0.001261187,0.0003477384,0.0007588373],"domain_scores_gemma":[0.9979211,0.000188363,0.0003390763,0.001133433,0.0003114157,0.0001065785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001267,0.0001155183,0.9513331,0.000651445,0.00008546512,0.0001414523,0.0002541328,0.004383502,0.00008249929,0.002268873,0.002096381,0.03846094],"study_design_scores_gemma":[0.0005133399,0.00001665014,0.8785644,0.002158875,0.00008318655,0.000003775591,0.0002362177,0.01599483,0.00001945028,0.01024884,0.09123691,0.0009235816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776517,0.001308872,0.000001901011,0.002040097,0.0004823685,0.0009435617,0.0001049878,0.00005022071,0.01741631],"genre_scores_gemma":[0.98561,0.009386628,0.0005057201,0.0007654931,0.001248537,0.0001142571,0.001392438,0.00006327642,0.0009136422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08914053,"threshold_uncertainty_score":0.9998312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03647615570740213,"score_gpt":0.2918050214530248,"score_spread":0.2553288657456227,"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."}}