{"id":"W2069590981","doi":"10.1016/j.jcjo.2012.09.017","title":"Courier: a better font for reading with age-related macular degeneration","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Toronto; Toronto Metropolitan University; Toronto Western Hospital","funders":"","keywords":"Reading (process); Chart; Font; Optometry; Low vision; Words per minute; Macular degeneration; Computer science; Medicine; Ophthalmology; Artificial intelligence; Mathematics; Statistics; Linguistics","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":[0.001295184,0.0002632785,0.0003993739,0.0004696328,0.001076241,0.001050119,0.0004148718,0.0007999529,0.01077442],"category_scores_gemma":[0.01025198,0.00009115376,0.0004849563,0.0005139229,0.0004256831,0.001848247,0.0004674341,0.00107779,0.0005091565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003324084,"about_ca_system_score_gemma":0.0006594943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005261394,"about_ca_topic_score_gemma":0.00523161,"domain_scores_codex":[0.9991385,0.000382558,0.0001306133,0.00009867222,0.0001841853,0.00006546293],"domain_scores_gemma":[0.9950459,0.002436085,0.001343088,0.0002675486,0.000278993,0.0006283397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02078428,0.01052972,0.62832,0.001935868,0.000957178,0.01539518,0.009886924,0.0002813317,0.006666521,0.007090748,0.02079003,0.2773622],"study_design_scores_gemma":[0.002226617,0.01845866,0.9182882,0.0008134507,0.001312207,0.0187036,0.006919377,0.0003510914,0.00128303,0.00324676,0.0282516,0.000145306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717853,0.005029101,0.0001084032,0.002624392,0.0002919107,0.00003302343,0.0001908245,0.00002508177,0.01991192],"genre_scores_gemma":[0.9928392,0.001660164,0.0003764281,0.001166832,0.0003356432,0.0000190163,0.000107603,0.00001260312,0.0034824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01077442,"threshold_uncertainty_score":0.03604406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02705583517363796,"score_gpt":0.3045816842720498,"score_spread":0.2775258490984119,"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."}}