{"id":"W2935593865","doi":"10.1016/j.ajo.2019.04.002","title":"Aqueous Humor Cytokines and Long-Term Response to Anti–Vascular Endothelial Growth Factor Therapy in Diabetic Macular Edema","year":2019,"lang":"en","type":"article","venue":"American Journal of Ophthalmology","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Calgary; St. Michael's Hospital; University of Toronto","funders":"Novartis Pharmaceuticals Canada; Allergan; Fondation De La Rétine Du Canada; Valeant Pharmaceuticals International; Novartis; Alcon; Bayer","keywords":"Medicine; Vascular endothelial growth factor; Cytokine; Aqueous humor; Edema; Prospective cohort study; Ophthalmology; Ranibizumab; Diabetic macular edema; Interleukin 6; Internal medicine; Biomarker; Diabetic retinopathy; Gastroenterology; Endocrinology; Diabetes mellitus; VEGF receptors; Bevacizumab; Chemotherapy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001160938,0.000378057,0.0008628705,0.0005647931,0.0002636224,0.0007034024,0.0002996015,0.0008256736,0.001089754],"category_scores_gemma":[0.002663958,0.0001429781,0.0006014302,0.0005653859,0.0003257838,0.0008255383,0.0002984207,0.001067693,0.0001957734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005011893,"about_ca_system_score_gemma":0.0003847066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008198313,"about_ca_topic_score_gemma":0.0009297015,"domain_scores_codex":[0.999357,0.0002219692,0.000104395,0.00006152257,0.0001245879,0.0001304361],"domain_scores_gemma":[0.997621,0.0008387713,0.0007976511,0.0001203181,0.0002258488,0.0003964628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2875892,0.007130544,0.539515,0.0005533179,0.001884017,0.001707577,0.000537069,0.001069405,0.05449811,0.0001650523,0.000739673,0.1046111],"study_design_scores_gemma":[0.002048086,0.03190463,0.9448206,0.00007645423,0.001194263,0.001208302,0.0003640162,0.001712644,0.01431972,0.0001906438,0.002087389,0.0000731574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952186,0.003980697,0.000102367,0.00008964011,0.00004644892,0.00002564243,0.0001409001,0.00001265427,0.0003830633],"genre_scores_gemma":[0.998669,0.0004327289,0.00009821157,0.00008257665,0.00007136416,0.00002431772,0.0001789645,0.0000021882,0.0004407775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001160938,"threshold_uncertainty_score":0.006139696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0133082719336615,"score_gpt":0.2997087447310658,"score_spread":0.2864004727974043,"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."}}