{"id":"W3121198801","doi":"","title":"Consumption, income, and wealth inequality in Canada","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; Income inequality metrics; Economics; Consumption (sociology); Economic inequality; Income distribution; Labour economics; Distribution (mathematics); Demographic economics; Survey data collection; Sociology; Mathematics","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":[0.0006189877,0.0002065847,0.0003749906,0.003363756,0.00341006,0.002315815,0.0005889811,0.0002260896,0.003909823],"category_scores_gemma":[0.003117432,0.0001748625,0.0002874871,0.01390282,0.0009296617,0.0005228791,0.001157096,0.000589222,0.0002200192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03408669,"about_ca_system_score_gemma":0.03180612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982097,"about_ca_topic_score_gemma":0.9987044,"domain_scores_codex":[0.9991314,0.00005130266,0.00003107901,0.00009385055,0.000375909,0.0003165249],"domain_scores_gemma":[0.9979597,0.0001531275,0.0003466968,0.00009499267,0.001183352,0.0002620677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000132416,0.00004594499,0.9224064,0.0001040022,0.0001568913,0.0002805995,0.006446177,0.002018099,0.0003234057,0.0100871,0.01613569,0.04186332],"study_design_scores_gemma":[0.000005731018,0.000005105811,0.9867683,0.00004690902,0.00001864636,0.00003668577,0.00203933,0.0008596335,0.0001259333,0.0005104442,0.009556883,0.00002633273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468531,0.002583839,0.0004906459,0.00253219,0.00002504058,0.000036731,0.02514691,0.00004141392,0.02229006],"genre_scores_gemma":[0.9896557,0.001203374,0.0002839119,0.0001244775,0.000007209368,0.00001120096,0.005135414,0.00001092797,0.003567673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03408669,"threshold_uncertainty_score":0.2473174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05953257916047222,"score_gpt":0.3684429973982429,"score_spread":0.3089104182377707,"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."}}