{"id":"W2917607785","doi":"","title":"The prevalence and determinants of visual impairment in Canada: Cross-sectional data from the Canadian Longitudinal Study on Aging","year":2018,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Cross-sectional study; Visual impairment; Optometry; Longitudinal data; Medicine; Gerontology; Demography; Geography; Environmental health; Sociology; Psychiatry; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002481908,0.0001751028,0.0001607798,0.00004572508,0.001593789,0.00008160724,0.00129094,0.00004045845,0.0003198477],"category_scores_gemma":[0.000351343,0.0001092418,0.00001122316,0.0004176863,0.008058602,0.0003852833,0.0007757025,0.0002415029,0.0000315294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454382,"about_ca_system_score_gemma":0.001645293,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9784251,"about_ca_topic_score_gemma":0.9915788,"domain_scores_codex":[0.9971449,0.0002522463,0.0003598034,0.0007109132,0.0008145889,0.0007175429],"domain_scores_gemma":[0.9985261,0.0004294008,0.0001915423,0.0004627657,0.00001977711,0.0003703935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002044539,0.0000768287,0.998194,0.000001654505,0.000003801065,0.00003210157,0.0006573473,0.000004945917,0.0009047354,0.000002959922,0.00001995761,0.00008121457],"study_design_scores_gemma":[0.0001973931,0.0008709579,0.9958476,0.00001636594,0.000004965011,0.00002510268,0.0003016211,0.0006484805,0.001751527,0.0002015886,0.00001546621,0.0001189715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986369,0.00002338301,1.084308e-7,0.0003563298,0.0002255387,0.0004263571,0.00004733731,0.000002818769,0.0002812329],"genre_scores_gemma":[0.999625,0.000003801584,0.00002828528,0.0002229037,0.00005335858,0.00001328443,0.000002110937,0.000006434007,0.00004477638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0131537,"threshold_uncertainty_score":0.999706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1092316103046677,"score_gpt":0.395638985618769,"score_spread":0.2864073753141014,"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."}}