{"id":"W780698384","doi":"","title":"Income inequality, household income and health status in Canada","year":2001,"lang":"en","type":"article","venue":"MacSphere (McMaster University)","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economic inequality; Inequality; Income inequality metrics; Total personal income; Economics; Income distribution; Household income; Income in kind; Social inequality; Health equity; Labour economics; Demographic economics; Economic growth; Gross income; Public economics; Geography; Health care; 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":[0.0008329529,0.0002835028,0.0006587094,0.002570457,0.006318243,0.00256329,0.001486981,0.0007569361,0.007578927],"category_scores_gemma":[0.003435003,0.0004064789,0.0008397007,0.008316203,0.001057116,0.0007729299,0.001499656,0.001706551,0.0004082357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05688486,"about_ca_system_score_gemma":0.07359305,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9990682,"about_ca_topic_score_gemma":0.9995321,"domain_scores_codex":[0.9988921,0.0000793428,0.00006985124,0.0001056841,0.0002646428,0.0005884076],"domain_scores_gemma":[0.9965396,0.0002450114,0.0004036496,0.00006295131,0.001367553,0.001381232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001931937,0.000119946,0.9765804,0.00007061224,0.0001099405,0.0002340309,0.002051458,0.000430735,0.00006037885,0.0019512,0.006734726,0.01146331],"study_design_scores_gemma":[0.00002157389,0.00002191309,0.99113,0.00009502577,0.00005271336,0.00005071338,0.003814479,0.0005291541,0.00003261306,0.0002820102,0.003943254,0.00002655837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698545,0.00406712,0.00009789162,0.004602232,0.0000753276,0.00004682231,0.009468268,0.00001862777,0.0117692],"genre_scores_gemma":[0.9910015,0.001977063,0.0001301003,0.0003132424,0.00001975895,0.00001639972,0.001631494,0.000009335392,0.004901064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05688486,"threshold_uncertainty_score":0.4127305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06527697647320832,"score_gpt":0.3101888450249288,"score_spread":0.2449118685517205,"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."}}