{"id":"W2915950134","doi":"","title":"Real-world outcomes of Aflibercept treatment for chronic diabetic macular edema in Bevacizumab non-responders in a Canadian setting","year":2018,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital; McGill University","funders":"","keywords":"Aflibercept; Diabetic macular edema; Medicine; Bevacizumab; Ophthalmology; Internal medicine; Diabetic retinopathy; Diabetes mellitus; Chemotherapy; Endocrinology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001258858,0.0003892738,0.0007022929,0.0009106667,0.001929993,0.00157461,0.00121856,0.0009270939,0.002285712],"category_scores_gemma":[0.005074983,0.0002894866,0.001006983,0.003186163,0.0008476226,0.000622259,0.0007879016,0.001518494,0.0002151204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03462646,"about_ca_system_score_gemma":0.0272409,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9599095,"about_ca_topic_score_gemma":0.9743223,"domain_scores_codex":[0.9981078,0.0002351373,0.0001486079,0.0002423692,0.0004719353,0.0007941846],"domain_scores_gemma":[0.9949451,0.0005404686,0.001418311,0.0001231819,0.001494622,0.001478395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002522577,0.0004610822,0.9785118,0.0002644099,0.0004251855,0.0004699714,0.001063386,0.0005852867,0.0002277639,0.0003312877,0.005550412,0.009586908],"study_design_scores_gemma":[0.0001655804,0.0003595162,0.9948018,0.00009608187,0.0001885277,0.0002453803,0.001821543,0.000594884,0.0000594675,0.00005897535,0.001548572,0.00005977305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898546,0.00128211,0.00005284774,0.0007056231,0.00001682079,0.00008063062,0.00595061,0.000008929121,0.002047799],"genre_scores_gemma":[0.9962232,0.0005606253,0.0001705877,0.0002266147,0.00001879919,0.00002906948,0.002468975,0.000005776343,0.0002963957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0400905,"threshold_uncertainty_score":0.2512337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04006011043564464,"score_gpt":0.3902679214825134,"score_spread":0.3502078110468687,"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."}}