{"id":"W2370262556","doi":"","title":"A Behavioral Economic Analysis of Payday Lending Regulation in Canada","year":2014,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic analysis; Economics; Agricultural economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001241454,0.0003117646,0.000751576,0.001058059,0.00436033,0.003287916,0.001456128,0.001384857,0.008487819],"category_scores_gemma":[0.00599294,0.0003399829,0.0007612819,0.00229449,0.001815785,0.0008590897,0.001250354,0.002341268,0.0002512701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1142151,"about_ca_system_score_gemma":0.06652815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951442,"about_ca_topic_score_gemma":0.9940692,"domain_scores_codex":[0.9986668,0.0001598587,0.0000314486,0.0001134176,0.0002584479,0.0007700464],"domain_scores_gemma":[0.9969369,0.001102594,0.0004151824,0.0001109648,0.0007579219,0.0006764313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001435703,0.001206235,0.3904287,0.0002427626,0.0003659417,0.001596182,0.005734255,0.1173236,0.002084338,0.3875997,0.04407376,0.04790892],"study_design_scores_gemma":[0.0003033985,0.0003173896,0.5230833,0.0001964894,0.0004497867,0.0002138563,0.02004277,0.381443,0.001105818,0.03272722,0.03971055,0.0004062632],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556645,0.0006965697,0.001066243,0.008413877,0.00003113448,0.0001253294,0.002615016,0.0000500001,0.03133743],"genre_scores_gemma":[0.9924006,0.0005196594,0.0003824387,0.000234775,0.00001036572,0.00001819685,0.0004865128,0.000007510986,0.005939952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1142151,"threshold_uncertainty_score":0.8286926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010905096470206,"score_gpt":0.220646614735954,"score_spread":0.2105375637712519,"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."}}