{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000257514,0.0001924313,0.0003719091,0.0001494565,0.0004925933,0.000007498186,0.0001717992,0.00007687071,0.007776022],"category_scores_gemma":[0.00001283079,0.0001962814,0.00002519045,0.000576262,0.00004766297,0.0001833064,0.0004769753,0.0004039005,0.00001330097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732962,"about_ca_system_score_gemma":0.001063172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.949145,"about_ca_topic_score_gemma":0.9928459,"domain_scores_codex":[0.9980003,0.0003721677,0.0003423213,0.0003064685,0.0002099153,0.0007687884],"domain_scores_gemma":[0.9991994,0.0001423677,0.0001596992,0.0002006117,0.00003917887,0.0002587741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005548568,0.00001702081,0.9704973,0.0001235251,0.00002100743,0.00008499636,0.001069115,0.000008221678,9.449205e-7,0.001168476,0.0007742497,0.02617963],"study_design_scores_gemma":[0.001347407,0.00004431223,0.7493739,0.0001473632,0.000006165578,7.082078e-7,0.006166793,0.00001239726,3.403733e-7,0.0001059736,0.2426359,0.0001587301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8468616,0.0002550916,0.00004057264,0.003038731,0.0002626796,0.0004498267,0.00004428649,0.0000701883,0.148977],"genre_scores_gemma":[0.9152289,0.0005461398,0.00005478387,0.0009615696,0.00004949002,0.000002259409,0.000008302863,0.00002107156,0.08312746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2418617,"threshold_uncertainty_score":0.993131,"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."}}