{"id":"W4200460276","doi":"10.1016/j.jcjo.2021.10.008","title":"Antivascular endothelial growth factor agents for wet age-related macular degeneration: an IRIS registry analysis","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Novartis Pharmaceuticals Corporation; Novartis","keywords":"Ranibizumab; Aflibercept; Medicine; Macular degeneration; Cohort; Ophthalmology; Visual acuity; Retrospective cohort study; Diabetic retinopathy; Choroidal neovascularization; Bevacizumab; Surgery; Internal medicine; Diabetes mellitus; Chemotherapy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001736686,0.0003139656,0.001012353,0.001611377,0.000444233,0.001155429,0.0004789116,0.0003814988,0.002171655],"category_scores_gemma":[0.00412463,0.0004392496,0.001995077,0.004034131,0.0002457312,0.0009668805,0.0008149224,0.0008052161,0.0004320559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007170513,"about_ca_system_score_gemma":0.00136756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009214353,"about_ca_topic_score_gemma":0.01841449,"domain_scores_codex":[0.9975355,0.0005163039,0.0006095732,0.0004601028,0.0005633105,0.0003152259],"domain_scores_gemma":[0.99397,0.0009794033,0.003203856,0.0008541807,0.0007099623,0.0002825889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00181631,0.0001243984,0.9862541,0.0002542009,0.002141145,0.0002949491,0.00008828178,0.0001935239,0.0003022479,0.0002007775,0.001581652,0.006748338],"study_design_scores_gemma":[0.0003116243,0.0002868636,0.9929432,0.0001074119,0.002742699,0.0006238801,0.0003701645,0.0005930805,0.0001817929,0.0000706184,0.001743994,0.00002461555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766744,0.003593837,0.0006913753,0.0001518232,0.00002460974,0.0001626674,0.01470464,0.00003934194,0.003957245],"genre_scores_gemma":[0.9897368,0.001358415,0.0005903917,0.000143136,0.00003659564,0.0001243882,0.007544484,0.00002191206,0.0004438671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009214353,"threshold_uncertainty_score":0.01832139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03647961082446569,"score_gpt":0.3096562714704779,"score_spread":0.2731766606460121,"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."}}