{"id":"W794882380","doi":"","title":"Does government assistance improve access for low-income individuals to eye care providers?","year":2013,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Toronto; University of Ottawa","funders":"","keywords":"Eye care; Government (linguistics); Business; Optometry; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002070215,0.0002092363,0.0004747624,0.001027694,0.0005833252,0.002226148,0.0009390591,0.002039533,0.01359403],"category_scores_gemma":[0.0239244,0.0001575384,0.001027803,0.001786302,0.001007654,0.002356072,0.00143334,0.00156932,0.0006036708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002685415,"about_ca_system_score_gemma":0.005450805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06716635,"about_ca_topic_score_gemma":0.08860719,"domain_scores_codex":[0.9973847,0.0009326647,0.00009473092,0.0001451661,0.0002762147,0.001166433],"domain_scores_gemma":[0.9845346,0.007235473,0.004353633,0.0003801199,0.001202171,0.002293994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001204481,0.001722257,0.8730827,0.0004225296,0.0005254987,0.0004733836,0.0008683407,0.001687693,0.0002392154,0.009916885,0.02466647,0.08519062],"study_design_scores_gemma":[0.0006429466,0.0007443965,0.9538923,0.0007286759,0.0007942664,0.000287273,0.006255742,0.004144915,0.0005244391,0.01264371,0.01930007,0.00004125835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8089206,0.00388595,0.000367265,0.1652417,0.0003720981,0.00006955384,0.003008288,0.00003973299,0.01809475],"genre_scores_gemma":[0.9927799,0.001162128,0.0001283589,0.003813565,0.000240858,0.00001980642,0.0003556366,0.000004869759,0.001494905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06716635,"threshold_uncertainty_score":0.1335508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03988598802806374,"score_gpt":0.3326270567282274,"score_spread":0.2927410687001636,"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."}}