{"id":"W3125355389","doi":"","title":"Playing with Fire? Debt near Retirement in Canada","year":2018,"lang":"en","type":"article","venue":"Cahiers de recherche","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Debt; Household debt; Economics; Debt service ratio; Monetary economics; Payment; Demographic economics; Debt-to-GDP ratio; Business; Internal debt; Finance","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":[0.0003359957,0.0001725684,0.0003887917,0.0009937652,0.002447725,0.001772981,0.0008531867,0.000611132,0.003648503],"category_scores_gemma":[0.001486959,0.0001856622,0.0003870278,0.003375747,0.0006908005,0.0005729232,0.001010472,0.001192281,0.0002040307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02812794,"about_ca_system_score_gemma":0.02130193,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965556,"about_ca_topic_score_gemma":0.9979449,"domain_scores_codex":[0.9996221,0.00001515957,0.00001297951,0.00004317538,0.00007259459,0.0002339258],"domain_scores_gemma":[0.9989411,0.0000540055,0.0002892555,0.0000242257,0.000292188,0.0003991235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001129361,0.00004953586,0.9784476,0.0000485283,0.00004419698,0.0004040666,0.002500363,0.000891138,0.0001550831,0.001619289,0.005381423,0.01034575],"study_design_scores_gemma":[0.000007509813,0.00001660581,0.9874163,0.00007977715,0.00001540208,0.00009127492,0.005890769,0.001072295,0.00007454539,0.0002285949,0.005088436,0.00001847246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873093,0.001045816,0.0000749606,0.002232871,0.00001554176,0.00001801049,0.005722674,0.000007265031,0.003573649],"genre_scores_gemma":[0.994918,0.0007073152,0.00005642711,0.0001392868,0.000007117687,0.000004180559,0.001840062,0.000002641558,0.002324993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02812794,"threshold_uncertainty_score":0.2040834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09893061662293923,"score_gpt":0.2689451205355384,"score_spread":0.1700145039125992,"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."}}