{"id":"W2279404020","doi":"10.1093/pubmed/fdv185","title":"Income-related inequalities in visual impairment and eye screening services in patients with type 2 diabetes","year":2016,"lang":"en","type":"article","venue":"Journal of Public Health","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Alberta; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Dalhousie University; University of Alberta; Diabetes Canada","keywords":"Visual impairment; Marital status; Inequality; Medicine; Gerontology; Disease; Epidemiology; Diabetes mellitus; Environmental health; Demography; Psychiatry; Population; Sociology; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009624221,0.0001926354,0.0003554037,0.001459785,0.001352555,0.001016071,0.0007496864,0.0003275284,0.002075695],"category_scores_gemma":[0.006573429,0.0001428985,0.0004658643,0.003771864,0.0005129622,0.0004260988,0.0009474461,0.000872063,0.0001119851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007047349,"about_ca_system_score_gemma":0.006180735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8546867,"about_ca_topic_score_gemma":0.8696308,"domain_scores_codex":[0.9988216,0.000168178,0.0000966458,0.0001095992,0.0003636979,0.0004402369],"domain_scores_gemma":[0.9972548,0.0004854149,0.00112876,0.00007747393,0.0004702557,0.0005832764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004076071,0.00003165846,0.9980327,0.000008188163,0.00002370662,0.00002072221,0.0001330734,0.00009170811,0.00001707906,0.00007785267,0.0001280096,0.00139451],"study_design_scores_gemma":[0.000002221275,0.00001101707,0.9992977,0.000009155769,0.00001012074,0.00001715856,0.0002780389,0.0002180625,0.00001004372,0.00004559115,0.00009773924,0.000003096106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967225,0.0002304105,0.00007149257,0.0002741435,0.000003677696,0.000015054,0.001144164,0.000001699432,0.001536885],"genre_scores_gemma":[0.9992912,0.00007908593,0.00006285642,0.00004243319,0.000004384975,0.000005239332,0.0004207924,6.110786e-7,0.00009340265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8546867,"threshold_uncertainty_score":0.2923382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02901134965151806,"score_gpt":0.2633841893173573,"score_spread":0.2343728396658392,"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."}}