{"id":"W2951973704","doi":"10.32721/ctj.2019.67.2.berger","title":"An Empirical Analysis of the Displacement Effect of TFSAs on RRSPs","year":2019,"lang":"en","type":"article","venue":"Canadian Tax Journal/Revue fiscale canadienne","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Wilfrid Laurier University","funders":"","keywords":"Sample (material); Government (linguistics); Economics; Revenue; Empirical evidence; Public economics; Empirical research; Tax revenue; Actuarial science; Demographic economics; Econometrics; Accounting; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003305015,0.0002811945,0.0005010876,0.001535835,0.001359512,0.001120192,0.002178017,0.0006721293,0.0100639],"category_scores_gemma":[0.03183194,0.0002190666,0.0007085273,0.00320645,0.001836327,0.001076116,0.001944029,0.001995045,0.0008212888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006529174,"about_ca_system_score_gemma":0.01067231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7280127,"about_ca_topic_score_gemma":0.7231467,"domain_scores_codex":[0.9950846,0.0009939419,0.0002767169,0.0006328275,0.002112281,0.0008995262],"domain_scores_gemma":[0.9574153,0.01710427,0.01322857,0.002226532,0.006390116,0.003635207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001205524,0.00009747346,0.9837739,0.00003470416,0.00008759583,0.0001261055,0.0009601689,0.0008120819,0.0001197359,0.001784791,0.001890138,0.01019272],"study_design_scores_gemma":[0.00001199042,0.00007849557,0.9927458,0.0000218983,0.0000508908,0.0000518735,0.002642154,0.001421112,0.0001431748,0.0002182532,0.002604401,0.000009875327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901994,0.0003364393,0.0003695906,0.001004515,0.00001669932,0.00005015875,0.002062755,0.00002240924,0.005938012],"genre_scores_gemma":[0.9963446,0.0001265114,0.0001398415,0.0000773827,0.0000113488,0.00001840521,0.00116324,0.000006096665,0.002112508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2719873,"threshold_uncertainty_score":0.547178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007209142131944632,"score_gpt":0.2157104037573577,"score_spread":0.208501261625413,"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."}}