{"id":"W3092679732","doi":"","title":"Robust classification of eye disease from fundus images using deep learning on multiple public datasets","year":2020,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fundus (uterus); Artificial intelligence; Computer science; Disease; Optometry; Deep learning; Ophthalmology; Pattern recognition (psychology); Medicine; Pathology","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":[0.001842765,0.001548538,0.001325426,0.002817871,0.0004325428,0.001131533,0.001171579,0.001420981,0.0008262671],"category_scores_gemma":[0.003556968,0.0003750199,0.001567701,0.001372078,0.0004954398,0.0007937386,0.001589678,0.001347926,0.0009100391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028293,"about_ca_system_score_gemma":0.001006874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0148083,"about_ca_topic_score_gemma":0.01804454,"domain_scores_codex":[0.9987994,0.0002380859,0.00008731811,0.0003968057,0.0002291616,0.0002491431],"domain_scores_gemma":[0.9985096,0.0003812326,0.0002162007,0.0004511096,0.0003445105,0.00009740162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003631843,0.002724577,0.1539415,0.0007891943,0.002656736,0.001309162,0.0001982676,0.0836799,0.03954212,0.001269933,0.06961528,0.6406415],"study_design_scores_gemma":[0.0002560296,0.0004870232,0.1175189,0.0001775269,0.0006186821,0.001177362,0.000312379,0.8474123,0.02061776,0.004308019,0.007012442,0.000101445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9159908,0.005080061,0.0455628,0.001498626,0.0003803169,0.0002083313,0.02450616,0.004414603,0.00235831],"genre_scores_gemma":[0.9260331,0.0007638421,0.02473073,0.0002592286,0.0002040075,0.0001012468,0.0457861,0.000116542,0.002005118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0148083,"threshold_uncertainty_score":0.02944422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.163892182337863,"score_gpt":0.3807594645937208,"score_spread":0.2168672822558578,"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."}}