{"id":"W4405887165","doi":"10.1177/24741264241308495","title":"Machine Learning Quantification of Fluid Volume in Eyes With Retinal Vein Occlusion Treated With Aflibercept: The REVOLT Study","year":2024,"lang":"en","type":"article","venue":"Journal of VitreoRetinal Diseases","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University; Octane (Canada)","funders":"Bayer Canada","keywords":"Aflibercept; Medicine; Retinal; Ophthalmology; Nerve fiber layer; Branch retinal vein occlusion; Optical coherence tomography; Retinal Vein; Occlusion; Visual acuity; Central retinal vein occlusion; Surgery; Macular edema; Bevacizumab","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":[0.001314551,0.0004106771,0.0004951584,0.0008965621,0.0001191595,0.0006146122,0.0003248738,0.0003265251,0.0003336062],"category_scores_gemma":[0.003429011,0.0001683497,0.0004879285,0.0003595419,0.0002920481,0.0005300897,0.00032952,0.0003142956,0.00009837631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003525455,"about_ca_system_score_gemma":0.0002329139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007572006,"about_ca_topic_score_gemma":0.0005397772,"domain_scores_codex":[0.9996495,0.0001515401,0.00002480406,0.00007382545,0.00007712604,0.00002325752],"domain_scores_gemma":[0.999043,0.0003538872,0.0003099724,0.0001387191,0.00008851265,0.00006582007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01192526,0.001130613,0.6878916,0.00024958,0.001214736,0.000422761,0.0002270554,0.02361727,0.0205071,0.0003460549,0.0008034109,0.2516646],"study_design_scores_gemma":[0.0005812392,0.0070698,0.6060894,0.00005915537,0.0005292269,0.001682051,0.0001701628,0.3693267,0.01203358,0.0007788396,0.001604259,0.00007553615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959139,0.0004888756,0.003112907,0.00003743656,0.000008038122,0.0000285096,0.0001207006,0.00004960834,0.000239992],"genre_scores_gemma":[0.9970546,0.0001200807,0.002410104,0.00002642788,0.00001600018,0.00002662317,0.000243202,0.000009079491,0.00009389257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001314551,"threshold_uncertainty_score":0.006952107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009689827188375012,"score_gpt":0.2774535112769771,"score_spread":0.2677636840886021,"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."}}