{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001099466,0.0001377725,0.0002662351,0.00006137955,0.0001350598,0.00004041829,0.0001923512,0.0002527003,0.0001474972],"category_scores_gemma":[0.00008324611,0.0001496652,0.00003146894,0.0003776956,0.0001493135,0.00008832422,0.00001747703,0.0005789189,0.00007485615],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003908056,"about_ca_system_score_gemma":0.0007205477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5672605,"about_ca_topic_score_gemma":0.5888593,"domain_scores_codex":[0.9988273,0.00007178148,0.000307622,0.0003167805,0.00003996656,0.0004365683],"domain_scores_gemma":[0.9993567,0.0001075146,0.0001340244,0.0002734853,0.00002525359,0.0001030343],"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":[0.0004336021,0.0002195896,0.743736,0.0002330695,0.0002455079,0.0004796315,0.04185829,0.0004497093,0.0003664341,0.1253007,0.02126939,0.06540804],"study_design_scores_gemma":[0.004052942,0.0005044147,0.1832221,0.0003404059,0.00002883138,0.00006539208,0.001402769,0.03603487,0.003525122,0.01384923,0.7547629,0.002211036],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.881333,0.0005893051,0.0008308293,0.0003757556,0.0001848835,0.0001178302,0.00001398261,0.00001877501,0.1165356],"genre_scores_gemma":[0.9870409,0.0002600479,0.009057982,0.00142478,0.00009265541,0.00001866779,0.000003792124,0.00003201274,0.002069099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7334934,"threshold_uncertainty_score":0.9999158,"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."}}