{"id":"W1724542850","doi":"10.1007/bf03403994","title":"Potential Savings from Reducing Inequalities in Health","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Manitoba Health","funders":"","keywords":"Neighbourhood (mathematics); Residence; Inequality; Medicine; Health care; Demography; Population; Environmental health; Gerontology; Geography; Economic growth; Economics; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002242449,0.0009450661,0.0009070863,0.001626841,0.001302295,0.00200309,0.00145913,0.005479459,0.03611937],"category_scores_gemma":[0.01419201,0.0003452649,0.001755289,0.001854211,0.001401779,0.002130241,0.003256977,0.003092747,0.002101799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003709481,"about_ca_system_score_gemma":0.008887473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04260479,"about_ca_topic_score_gemma":0.08872555,"domain_scores_codex":[0.9965268,0.001367961,0.0001007402,0.0001622593,0.000795407,0.001046857],"domain_scores_gemma":[0.9949079,0.001731805,0.000383236,0.0003917271,0.00103278,0.001552489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002790812,0.002088929,0.0266403,0.001394168,0.001019518,0.0008048423,0.0009662097,0.01040557,0.002271109,0.2119543,0.2075748,0.5320894],"study_design_scores_gemma":[0.002108829,0.001932489,0.2358267,0.003930174,0.002706303,0.002411617,0.005405276,0.01736993,0.002895194,0.2972018,0.42798,0.0002316532],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1472613,0.01922486,0.008684279,0.5588077,0.005464389,0.0001953302,0.006542001,0.0005925644,0.2532276],"genre_scores_gemma":[0.906073,0.009217508,0.007156414,0.03598085,0.00438854,0.0002141501,0.001748717,0.00008148611,0.0351392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9573952,"threshold_uncertainty_score":0.1208313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07788344484972441,"score_gpt":0.348479107240706,"score_spread":0.2705956623909815,"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."}}