{"id":"W3125018252","doi":"10.3386/w20297","title":"Financial Literacy and Retirement Planning in Canada","year":2014,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Autorité des Marchés Financiers","keywords":"Financial literacy; Literacy; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00255091,0.0002421252,0.0005207784,0.001247974,0.0001290171,0.0002364726,0.0004927947,0.0001662367,0.000274687],"category_scores_gemma":[0.0008464938,0.0002677393,0.00008436982,0.0002817228,0.00009303234,0.000396587,0.00106543,0.0007005652,0.00004164317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437758,"about_ca_system_score_gemma":0.002088262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7917953,"about_ca_topic_score_gemma":0.5293125,"domain_scores_codex":[0.997113,0.00005815367,0.0008281372,0.0006372098,0.0009438851,0.0004195551],"domain_scores_gemma":[0.998271,0.0003281131,0.000426492,0.0002909066,0.0006643206,0.00001918133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001369973,0.00005101888,0.6931728,0.0008054518,0.0000245816,0.00001735571,0.00009099257,0.009781213,0.00003235362,0.2777541,0.01671864,0.001414451],"study_design_scores_gemma":[0.0009134045,0.00001746824,0.3248931,0.001013189,0.00003108608,7.717341e-7,0.00004731095,0.1049643,0.0000477635,0.5512257,0.01622187,0.0006240281],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729722,0.0003124527,0.000002192015,0.0006414636,0.0003941293,0.0004427483,0.00001845889,0.000009797902,0.02520658],"genre_scores_gemma":[0.9976664,0.00003256403,0.0001396621,0.0002895425,0.001199022,0.00006065973,0.0003818928,0.0000245626,0.0002056489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3682798,"threshold_uncertainty_score":0.9999775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1334300367492226,"score_gpt":0.41167443255791,"score_spread":0.2782443958086873,"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."}}