{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002141173,0.0001543223,0.0004464012,0.0001751706,0.0004923005,0.00006701548,0.0003375176,0.00008808443,0.0004534693],"category_scores_gemma":[0.00005636182,0.0001668732,0.00002718629,0.0006328568,0.00006572896,0.0003116914,0.00002482037,0.000387205,0.00001632303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002912605,"about_ca_system_score_gemma":0.004012677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9994552,"about_ca_topic_score_gemma":0.9999136,"domain_scores_codex":[0.9954553,0.00106354,0.0008609431,0.000292492,0.0005549188,0.001772779],"domain_scores_gemma":[0.9984977,0.0005423345,0.0002614869,0.0001839808,0.0000270583,0.000487445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000009654943,0.00005369737,0.703513,0.01875484,0.00000276684,0.00001710553,0.2527756,0.0001155266,2.30091e-8,0.01073489,0.001221526,0.01280128],"study_design_scores_gemma":[0.0005054534,0.00002991226,0.2589881,0.005620808,5.553329e-7,7.658278e-7,0.6872872,0.0008279782,4.36504e-7,0.0004141023,0.04606119,0.0002634413],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1849495,0.03983922,0.000003044344,0.7644424,0.001614481,0.001115835,0.00003377173,0.000126251,0.007875486],"genre_scores_gemma":[0.8520923,0.001668964,0.00008629259,0.1454871,0.000175766,0.00002600164,0.000005129566,0.00001388914,0.0004446077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6671427,"threshold_uncertainty_score":0.7616361,"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."}}