{"id":"W2102134654","doi":"10.25336/p63w4d","title":"Income inequality, status seeking, and savings rates in Canada","year":2014,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Economic inequality; Consumption (sociology); Demographic economics; Inequality; Personal income; Per capita; Per capita income; Total personal income; Consumer Expenditure Survey; Income inequality metrics; Income distribution; Labour economics; Public economics; Economic growth; Demography; Population; Gross income; Aggregate expenditure; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0009420413,0.0002231141,0.0004314415,0.002892149,0.003527209,0.001419771,0.0009125398,0.0002624742,0.003980354],"category_scores_gemma":[0.003924967,0.0002074878,0.000573216,0.006891456,0.0008281264,0.0003801572,0.001120346,0.0007238131,0.0001815195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0425465,"about_ca_system_score_gemma":0.04547751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9989215,"about_ca_topic_score_gemma":0.9992656,"domain_scores_codex":[0.9991386,0.00005660016,0.00003784353,0.00008745461,0.0003047876,0.0003747069],"domain_scores_gemma":[0.9969906,0.0002858187,0.0004934474,0.0001147589,0.001453579,0.0006618029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001204024,0.00003847905,0.9759553,0.00005789262,0.00007772286,0.0001166509,0.002439124,0.0008273424,0.0001034004,0.003746465,0.004680204,0.01183699],"study_design_scores_gemma":[0.000008086728,0.000009619359,0.9933467,0.00004307477,0.00002608094,0.0000287324,0.001834225,0.0009056205,0.00007367942,0.0002210125,0.003486668,0.00001651033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773393,0.001039137,0.0001708807,0.001176248,0.0000218366,0.00003062941,0.008424751,0.0000216609,0.01177558],"genre_scores_gemma":[0.9952127,0.0004373539,0.0001456613,0.00005025726,0.000003890555,0.000006886949,0.002043006,0.000005352504,0.002094862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0425465,"threshold_uncertainty_score":0.3086979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0484701126688803,"score_gpt":0.3401953007010157,"score_spread":0.2917251880321354,"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."}}