{"id":"W2106792448","doi":"10.2139/ssrn.2585227","title":"Financial Literacy and Retirement Planning in Canada","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bureau de Coopération Interuniversitaire; Université du Québec à Montréal","funders":"","keywords":"Financial literacy; Literacy; Business; Retirement planning; Finance; Economics; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001190589,0.0002091958,0.0004475424,0.002157138,0.005636473,0.003036731,0.001182348,0.0008818209,0.01284024],"category_scores_gemma":[0.0074028,0.0002750299,0.0006216339,0.004972528,0.0009304212,0.0008795803,0.001634553,0.002339513,0.0004705408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06838086,"about_ca_system_score_gemma":0.1460063,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9986461,"about_ca_topic_score_gemma":0.9993492,"domain_scores_codex":[0.9986612,0.00009488464,0.00006898062,0.00009070108,0.0002977124,0.0007865377],"domain_scores_gemma":[0.9915842,0.0006972777,0.0008764663,0.00008847315,0.003005458,0.003748078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002424639,0.0003186049,0.9067805,0.0001525627,0.00008374375,0.0004651717,0.008627938,0.000542096,0.00007887973,0.006276007,0.02102537,0.05540662],"study_design_scores_gemma":[0.00003307948,0.00005408099,0.9640888,0.0003333875,0.00005716537,0.00009587633,0.01199328,0.0006989545,0.00008657732,0.000544967,0.02196538,0.00004854598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435624,0.005132051,0.0001110999,0.01776594,0.0001344668,0.00005533111,0.005234991,0.00002540149,0.02797831],"genre_scores_gemma":[0.9838964,0.001923583,0.0001076212,0.0007589635,0.0000294791,0.00001336316,0.0009012115,0.00001057095,0.0123589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06838086,"threshold_uncertainty_score":0.4961401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005125332762770072,"score_gpt":0.2028508342463155,"score_spread":0.1977255014835454,"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."}}