{"id":"W4398216574","doi":"10.1097/iae.0000000000004159","title":"ARTIFICIAL INTELLIGENCE-ENHANCED ANALYSIS OF RETINAL VASCULATURE IN AGE-RELATED MACULAR DEGENERATION","year":2024,"lang":"en","type":"article","venue":"Retina","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Dalhousie University; University of Toronto","funders":"","keywords":"Macular degeneration; Optical coherence tomography; Ophthalmology; Retinal; Fluorescein angiography; Medicine; Degeneration (medical)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006828965,0.0001808226,0.0002345199,0.0008882533,0.00008649915,0.0005278803,0.0001737153,0.0002089106,0.0003988822],"category_scores_gemma":[0.002639165,0.00007141125,0.000248078,0.0003785989,0.0001530213,0.0002306597,0.0001969774,0.0001770143,0.00006672702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003102488,"about_ca_system_score_gemma":0.0002225424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002278825,"about_ca_topic_score_gemma":0.003260834,"domain_scores_codex":[0.9998162,0.00008464767,0.00001561878,0.00002857544,0.00004047249,0.00001437454],"domain_scores_gemma":[0.9993787,0.0003030387,0.0001636041,0.00003740199,0.00008681633,0.00003046653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001000555,0.0003078276,0.8044059,0.0002269821,0.000342036,0.0004966154,0.0001835115,0.01758109,0.01920225,0.0004300009,0.0006880549,0.1551352],"study_design_scores_gemma":[0.00002055095,0.000320513,0.8375648,0.00002890775,0.0001022011,0.0007774525,0.0001110761,0.1563111,0.003151423,0.0008843489,0.0007110844,0.00001664803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989817,0.0009749931,0.008354098,0.000093739,0.000006792296,0.00002325373,0.0001861268,0.00005188869,0.0004920006],"genre_scores_gemma":[0.9934834,0.0002477556,0.005914985,0.00002464302,0.000009885727,0.00001187312,0.0001452463,0.000002789682,0.0001594933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002278825,"threshold_uncertainty_score":0.004531085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997647465635072,"score_gpt":0.314745681862001,"score_spread":0.2947692072056503,"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."}}