{"id":"W1982015730","doi":"10.1108/13660750210427240","title":"Addressing health inequalities in Canada","year":2002,"lang":"en","type":"article","venue":"Leadership in Health Services","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Inequality; Poverty; Spillover effect; Development economics; Investment (military); Economics; Population health; Economic inequality; Population; Demographic economics; Economic growth; Health care; Political science; Sociology; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001385916,0.0003131468,0.0004232902,0.001903922,0.01095391,0.002947711,0.001503401,0.002098197,0.01319433],"category_scores_gemma":[0.004264894,0.0002397349,0.0006328847,0.002162346,0.0008338587,0.0008340986,0.003057895,0.002508004,0.0004693813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08706138,"about_ca_system_score_gemma":0.336793,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952251,"about_ca_topic_score_gemma":0.9984236,"domain_scores_codex":[0.9978464,0.0001162564,0.00005098303,0.0000960174,0.0006152141,0.001275155],"domain_scores_gemma":[0.9962144,0.0001643326,0.00006800942,0.00004324739,0.001143283,0.002366572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001528486,0.0003264486,0.07081807,0.0009777467,0.000133116,0.001503529,0.004102633,0.001582856,0.000969717,0.05295091,0.5686601,0.297822],"study_design_scores_gemma":[0.0001704254,0.0001359141,0.2142124,0.0009209798,0.0001442102,0.0003224064,0.005391485,0.002090184,0.0006954997,0.007886432,0.7679142,0.0001158648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.1521614,0.04183752,0.00225032,0.4839529,0.005683042,0.001190774,0.00972526,0.0003712267,0.3028275],"genre_scores_gemma":[0.7085599,0.02903119,0.006895212,0.09072168,0.001109401,0.0006119352,0.002873573,0.0001158108,0.1600813],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.08706138,"threshold_uncertainty_score":0.6316775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.43655260625249,"score_gpt":0.3956773414734101,"score_spread":0.04087526477907988,"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."}}