{"id":"W3004873870","doi":"10.1111/roiw.12453","title":"Long Run Canadian Wealth Inequality in International Context","year":2020,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Global Health Care Issues","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Western University","funders":"","keywords":"Inequality; Economics; Context (archaeology); Distribution of wealth; Wealth distribution; Real estate; Demographic economics; Distribution (mathematics); Economic inequality; Estate; Development economics; Geography; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001059006,0.0003705206,0.0004169974,0.005735131,0.004387874,0.003297308,0.000615804,0.000425071,0.008567005],"category_scores_gemma":[0.00242125,0.0001620243,0.0004037089,0.01753588,0.001236084,0.000920807,0.001359919,0.001193547,0.0004239664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05807158,"about_ca_system_score_gemma":0.06049762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935068,"about_ca_topic_score_gemma":0.996009,"domain_scores_codex":[0.9992932,0.00003696598,0.00002502513,0.00008038402,0.0002795542,0.0002848421],"domain_scores_gemma":[0.9983243,0.00008771815,0.0001466452,0.00003451547,0.001092137,0.0003146678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003110098,0.00007926632,0.1947164,0.002126065,0.0003741782,0.00115387,0.009499392,0.00107128,0.000398663,0.1203963,0.2473597,0.422514],"study_design_scores_gemma":[0.00002176357,0.0000332278,0.5500897,0.002928092,0.0002054294,0.0003756215,0.008550935,0.0003923917,0.0002406387,0.003916007,0.4331448,0.0001013232],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1906226,0.424005,0.0004687141,0.05444144,0.001291335,0.00009325329,0.02591111,0.00009122356,0.3030754],"genre_scores_gemma":[0.6167257,0.3548618,0.0006702283,0.003233389,0.0004002826,0.0000542088,0.006303354,0.00004130829,0.01770965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05807158,"threshold_uncertainty_score":0.4213408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06985069989085085,"score_gpt":0.4524355837349649,"score_spread":0.382584883844114,"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."}}