{"id":"W3115306322","doi":"10.1097/iae.0000000000003083","title":"MANAGEMENT OF RETINAL PIGMENT EPITHELIUM TEAR DURING ANTI–VASCULAR ENDOTHELIAL GROWTH FACTOR THERAPY","year":2020,"lang":"en","type":"review","venue":"Retina","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Retinal pigment epithelium; Ranibizumab; Ophthalmology; Fundus photography; Fluorescein angiography; Fundus (uterus); Vascular endothelial growth factor; Macular degeneration; Optical coherence tomography; Artificial tears; Retinal; Surgery; Bevacizumab; Internal medicine; VEGF receptors; 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":[0.0007768184,0.0006739891,0.001638786,0.002869272,0.000238149,0.0008926985,0.0008010047,0.001093435,0.002105434],"category_scores_gemma":[0.002335011,0.0002133828,0.001130462,0.001888432,0.0002931824,0.0009457316,0.0004097621,0.0006756419,0.0004477516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005570594,"about_ca_system_score_gemma":0.00119851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001322357,"about_ca_topic_score_gemma":0.002090648,"domain_scores_codex":[0.9994695,0.0001328107,0.0001667018,0.00006773552,0.0001308863,0.00003240744],"domain_scores_gemma":[0.9990396,0.000538856,0.0002703177,0.0000146985,0.0001156362,0.00002088874],"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":[0.0002124718,0.00006677299,0.0007217689,0.2196696,0.0006759905,0.0005546439,0.00009407767,0.0002074816,0.001006271,0.0006470965,0.009664988,0.7664789],"study_design_scores_gemma":[0.0002591439,0.0007388229,0.01532695,0.3141868,0.008034921,0.01846258,0.0004957048,0.0004184867,0.002421236,0.00168412,0.6378725,0.00009880936],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001460885,0.9995253,0.00002246054,0.00006692854,0.00005856503,0.000004499972,0.000009461991,0.000001766946,0.0001648806],"genre_scores_gemma":[0.001352907,0.9982687,0.00009628147,0.0001047508,0.0000916635,0.000007451966,0.00001825247,5.744022e-7,0.00005928381],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002869272,"threshold_uncertainty_score":0.007043421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.030366363868942,"score_gpt":0.3104092633734845,"score_spread":0.2800428995045425,"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."}}