{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003530919,0.000102998,0.0005071309,0.0006628659,0.00004269303,0.00004146183,0.00009680963,0.00008005017,0.00002441667],"category_scores_gemma":[0.00005959642,0.00006025007,0.00002670641,0.0003509039,0.00002556257,0.000557282,0.0000323869,0.0001760599,0.00000532177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003268554,"about_ca_system_score_gemma":0.0001687305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001524916,"about_ca_topic_score_gemma":0.0003767597,"domain_scores_codex":[0.9979645,0.00009468667,0.00131261,0.0001388505,0.00008319452,0.0004061619],"domain_scores_gemma":[0.9986303,0.00002971514,0.0009232047,0.00008309199,0.0000908072,0.0002428477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001390883,0.00009726213,0.9796327,0.0001547878,0.00001856322,0.000001332255,0.001167892,0.000001697478,2.132402e-7,0.0005703124,0.000003619933,0.01833771],"study_design_scores_gemma":[0.00189216,0.001134117,0.99452,0.0004598429,2.377886e-7,0.000001084153,0.0003854327,0.00004411292,3.019117e-7,0.0004157651,0.001060278,0.0000866824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941984,0.001214577,0.00004618494,0.004109839,0.0002038214,0.0001516394,0.00001445038,0.000004876227,0.00005622248],"genre_scores_gemma":[0.9992796,0.0002604322,0.0001210269,0.0002289205,0.00004675151,0.000002022422,0.000002266576,0.00001295548,0.00004604431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01825102,"threshold_uncertainty_score":0.2456927,"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."}}