{"id":"W1991311930","doi":"10.2147/dddt.s40215","title":"Aflibercept in wet AMD: specific role and optimal use","year":2013,"lang":"en","type":"review","venue":"Drug Design Development and Therapy","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"Surgical Specialties (Canada)","funders":"","keywords":"Aflibercept; Medicine; Computer science; Ophthalmology; Bevacizumab; Surgery; Chemotherapy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001329347,0.0005437565,0.002057646,0.003156967,0.0002524509,0.0012552,0.0007261352,0.00135731,0.003541605],"category_scores_gemma":[0.002400677,0.0002538617,0.001061597,0.002853451,0.0004956786,0.002116032,0.0005351235,0.0009270051,0.000875012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009430598,"about_ca_system_score_gemma":0.002722809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066993,"about_ca_topic_score_gemma":0.00266348,"domain_scores_codex":[0.9992111,0.000191177,0.0002961846,0.00008488364,0.0001755351,0.00004098877],"domain_scores_gemma":[0.9990608,0.0004356499,0.0002811861,0.00001778229,0.0001675957,0.00003702943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002714406,0.00004721566,0.0005287905,0.1269458,0.0002282931,0.0007055003,0.0001862171,0.0001370532,0.001766108,0.002792561,0.01505712,0.851334],"study_design_scores_gemma":[0.0002839084,0.0004329002,0.005200069,0.1368541,0.001763197,0.00800404,0.0005101035,0.0002091962,0.001042425,0.004097019,0.8415453,0.0000577339],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002462363,0.9984072,0.0000527942,0.000517212,0.00009954929,0.00001083562,0.00003009167,0.000003037725,0.0006331411],"genre_scores_gemma":[0.00269066,0.9957237,0.0004864448,0.000559902,0.0001987699,0.00002598214,0.00005230777,0.000002013843,0.0002601867],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003541605,"threshold_uncertainty_score":0.01184791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09628446476675699,"score_gpt":0.3128199846076987,"score_spread":0.2165355198409417,"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."}}