{"id":"W3121492288","doi":"10.1371/journal.pone.0246104","title":"Predicting changes in cataract surgery health outcomes using a cataract surgery appropriateness and prioritization instrument","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prism Eye Institute; Trillium Health Centre; University of Toronto","funders":"Abbott Medical Optics; Alcon; Valeant Pharmaceuticals International","keywords":"Medicine; Cataract surgery; Prioritization; Quality of life (healthcare); Visual acuity; Descriptive statistics; Physical therapy; Optometry; Ophthalmology; Nursing","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":[0.001403376,0.0003251338,0.0002988863,0.0005737421,0.0003686376,0.0004841063,0.0002943018,0.0003875136,0.001859778],"category_scores_gemma":[0.005083658,0.0001432056,0.0007433816,0.0005784861,0.0002096539,0.0003384166,0.0005345072,0.0003663904,0.0002615357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465806,"about_ca_system_score_gemma":0.00142463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06964718,"about_ca_topic_score_gemma":0.1381609,"domain_scores_codex":[0.9992176,0.0001540744,0.0001076678,0.00006051527,0.0003150061,0.0001449861],"domain_scores_gemma":[0.9969459,0.00054811,0.001263152,0.00007819798,0.0007632867,0.0004012478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008106285,0.0000540738,0.9968221,0.00001202413,0.00002638344,0.000009274489,0.00004666408,0.0001104078,0.0001028461,0.000004153037,0.0002064669,0.002524532],"study_design_scores_gemma":[0.00001382682,0.0001271736,0.9990941,0.000006990479,0.00001006717,0.00002328829,0.00008974381,0.000413634,0.0000492291,0.000006640498,0.0001613589,0.000003804429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977188,0.00009476807,0.0002585416,0.00008118383,0.000008323029,0.0001104728,0.0008179993,0.000007140958,0.000902864],"genre_scores_gemma":[0.9979181,0.00006084753,0.0006998964,0.00002799145,0.000006070433,0.00007163187,0.0009654182,0.00000128139,0.0002487026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06964718,"threshold_uncertainty_score":0.1384836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1875262675272934,"score_gpt":0.3473387439612861,"score_spread":0.1598124764339927,"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."}}