{"id":"W2089188529","doi":"10.1016/s0277-9536(99)00445-1","title":"Income inequality, social cohesion and the health status of populations: the role of neo-liberalism","year":2000,"lang":"en","type":"review","venue":"Social Science & Medicine","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":489,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto Public Health","funders":"","keywords":"Economic inequality; Welfare state; Inequality; Social inequality; Economics; Income distribution; Liberalism; Politics; Development economics; Demographic economics; Sociology; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003600326,0.0006861725,0.002423344,0.00272855,0.0007722118,0.002718454,0.0009331604,0.002247049,0.001454443],"category_scores_gemma":[0.005104623,0.0002552163,0.0005450542,0.00562232,0.005771189,0.003801306,0.002139554,0.002849613,0.0001610225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002766939,"about_ca_system_score_gemma":0.00608164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007533414,"about_ca_topic_score_gemma":0.01333685,"domain_scores_codex":[0.9988636,0.0005707003,0.00005658911,0.0001116857,0.0003280361,0.00006941369],"domain_scores_gemma":[0.996429,0.002801724,0.0002777422,0.00006969342,0.0003214687,0.0001004499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001010693,0.0001255152,0.004796186,0.01106749,0.0004159368,0.0002818728,0.001584229,0.001443785,0.0002651561,0.2068451,0.01397391,0.7590998],"study_design_scores_gemma":[0.0000655172,0.0001446553,0.02344059,0.01922217,0.0003372513,0.001012751,0.003737604,0.001079517,0.0002711964,0.4662617,0.4843323,0.0000947555],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008124967,0.9896774,0.0002604838,0.007232766,0.000193935,0.000002569464,0.000006550103,0.000001740194,0.00181207],"genre_scores_gemma":[0.01500007,0.9827836,0.0002086187,0.001015097,0.0007101696,0.000007489906,0.000008724994,0.000001006374,0.0002652154],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007533414,"threshold_uncertainty_score":0.02007562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180655907800161,"score_gpt":0.481691393094624,"score_spread":0.3636258023146078,"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."}}