{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001061229,0.0007063143,0.002373677,0.000162731,0.00008109341,0.00002490345,0.0002898871,0.0002028727,0.0004095428],"category_scores_gemma":[0.00002712952,0.0004962339,0.001682411,0.0003150732,0.00008704832,0.00003688051,0.0001610665,0.0003439056,0.0002157692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002188891,"about_ca_system_score_gemma":0.000141011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002158646,"about_ca_topic_score_gemma":5.275033e-8,"domain_scores_codex":[0.996935,0.0001761737,0.0008470764,0.0007672597,0.0008112462,0.0004632116],"domain_scores_gemma":[0.9983491,0.00005060457,0.0005147856,0.0006661383,0.00008596681,0.0003333945],"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":[0.0005750315,0.001182779,0.001547601,0.1289879,0.007152719,0.005380306,0.000132688,9.359204e-8,0.00004808794,0.0003860464,0.0001342342,0.8544725],"study_design_scores_gemma":[0.003106828,0.000911227,0.01140855,0.03934846,0.004843348,0.0001797845,0.00004501311,0.000001086253,0.0002413941,0.00001992331,0.9392803,0.0006141232],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005862081,0.9887137,0.000006187342,0.00007992763,0.0001545091,0.00242275,0.0002964853,0.00008675324,0.002377542],"genre_scores_gemma":[0.003249747,0.9951133,0.0002766458,0.00001999328,0.0003012554,0.0001402677,0.0001757239,0.0001387349,0.000584382],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.939146,"threshold_uncertainty_score":0.9997489,"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."}}