{"id":"W7014395134","doi":"","title":"Playing with Fire? Household Debt \\nnear Retirement in Canada","year":2021,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Debt; Household debt; Government (linguistics); Work (physics); Production (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":[0.0008084124,0.0001763122,0.0004229215,0.0009817521,0.01268269,0.004111526,0.001644648,0.001565241,0.01739455],"category_scores_gemma":[0.003444928,0.0003293363,0.0004315258,0.003216023,0.001272368,0.001418003,0.002113791,0.003737195,0.0006145817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06471699,"about_ca_system_score_gemma":0.1489031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982972,"about_ca_topic_score_gemma":0.9994799,"domain_scores_codex":[0.9988023,0.00005296636,0.00003522534,0.00006296891,0.0001604019,0.0008861542],"domain_scores_gemma":[0.9968924,0.0001365457,0.000245764,0.00004129157,0.0009877487,0.001696283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003850186,0.0003726533,0.6160852,0.0003212227,0.00007850848,0.002280854,0.05524139,0.0004199735,0.0002869222,0.01946345,0.1726186,0.1324463],"study_design_scores_gemma":[0.00005303569,0.00005904918,0.6065231,0.0008716636,0.00007259115,0.0004921636,0.2235494,0.0005471022,0.00018793,0.001103043,0.1664468,0.00009417999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8478036,0.006082991,0.0001103513,0.06701181,0.0006412863,0.00009123046,0.004954233,0.00003310744,0.07327136],"genre_scores_gemma":[0.9531472,0.00415548,0.0001153361,0.004120763,0.0000790436,0.00002232427,0.0009803202,0.00002132392,0.03735822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06471699,"threshold_uncertainty_score":0.4695568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703564834573854,"score_gpt":0.1824290363044428,"score_spread":0.1653933879587043,"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."}}