{"id":"W2159834688","doi":"10.1377/hlthaff.2009.0669","title":"Lesson From Canada’s Universal Care: Socially Disadvantaged Patients Use More Health Services, Still Have Poorer Health","year":2011,"lang":"en","type":"article","venue":"Health Affairs","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"Canadian Institutes of Health Research","keywords":"Disadvantaged; Socioeconomic status; Health care; Health equity; Medicine; Environmental health; Universal health care; Health policy; Gerontology; Public health; Economic growth; Nursing; Economics; Population","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":[0.0007893126,0.0003754821,0.0008419178,0.0001063392,0.002295071,0.00008733437,0.0005406021,0.0001924786,0.0002282225],"category_scores_gemma":[0.00008032119,0.0003913312,0.0001199138,0.0002659464,0.0002141302,0.0005144965,0.0001146754,0.0004897778,0.00001704303],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006468083,"about_ca_system_score_gemma":0.03480691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988887,"about_ca_topic_score_gemma":0.9987037,"domain_scores_codex":[0.9938384,0.0010614,0.0009440242,0.0006871348,0.001187846,0.002281252],"domain_scores_gemma":[0.9958135,0.0002356658,0.0008080434,0.0004491388,0.0002575847,0.002436103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001016085,0.0001706634,0.5830804,0.0009876152,0.0000301515,0.00001244091,0.3731405,0.000003394892,1.883596e-8,0.005383344,0.02536003,0.01172989],"study_design_scores_gemma":[0.0008565034,0.0001409634,0.6049464,0.000246697,0.000006002931,1.481862e-7,0.2524038,0.00000803612,4.024184e-7,0.00009368314,0.141012,0.0002853998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6403837,0.007290801,0.00008673094,0.3227578,0.007825687,0.005839622,0.006647254,0.0007073496,0.008461065],"genre_scores_gemma":[0.9429833,0.001907131,0.000902912,0.05294587,0.0003214147,0.00001912395,0.0005720179,0.00006053728,0.0002877287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3025995,"threshold_uncertainty_score":0.9998538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02824185236535275,"score_gpt":0.3045385157253683,"score_spread":0.2762966633600156,"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."}}