{"id":"W2016813766","doi":"10.1016/j.healthplace.2006.09.003","title":"Income and health inequality across Canadian provinces","year":2006,"lang":"en","type":"article","venue":"Health & Place","topic":"Global Health Care Issues","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"University of British Columbia; McMaster University","keywords":"Microdata (statistics); Inequality; Health equity; Index (typography); Public health; Geography; Self-rated health; Population health; Survey data collection; Demographic economics; Economic inequality; Population; Economics; Demography; Economic growth; Sociology; Health care; Statistics; Census; Medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.005561767,0.0003228034,0.000758967,0.0001470747,0.003471285,0.00003082851,0.000255035,0.0003058577,0.0001139401],"category_scores_gemma":[0.0001611726,0.0003102621,0.00004147234,0.0004553527,0.0001297946,0.0002000348,0.0001483261,0.000999389,0.000546673],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004353722,"about_ca_system_score_gemma":0.01177283,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9651396,"about_ca_topic_score_gemma":0.9841094,"domain_scores_codex":[0.9931387,0.001433167,0.001478985,0.0006583279,0.0004554499,0.002835398],"domain_scores_gemma":[0.9962355,0.0004419894,0.0006760398,0.0005467223,0.0002145352,0.001885235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006329995,0.00005829333,0.8046516,0.00402503,0.000007088668,0.00001864792,0.0087975,0.0000126564,5.500391e-7,0.008600349,0.169444,0.004321013],"study_design_scores_gemma":[0.0007020035,0.0002206169,0.7052342,0.0005006369,0.000001529625,0.000008673621,0.003061615,0.00006219851,4.83786e-7,0.0005658306,0.2894316,0.0002105789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8682287,0.01020709,0.00004643079,0.1092441,0.001570652,0.003627117,0.0008035286,0.000419648,0.00585269],"genre_scores_gemma":[0.9727633,0.0004083456,0.0008729733,0.02309482,0.0005897254,0.0001505142,0.0001352043,0.00004886875,0.001936268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1199877,"threshold_uncertainty_score":0.999935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06698964913032715,"score_gpt":0.4864793878475674,"score_spread":0.4194897387172403,"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."}}