{"id":"W3174394566","doi":"10.3390/jimaging7090165","title":"Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey","year":2021,"lang":"en","type":"preprint","venue":"Journal of Imaging","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Diabetic retinopathy; Artificial intelligence; Computer science; Optical coherence tomography; Fundus (uterus); Deep learning; Segmentation; Optometry; Medicine; Scope (computer science); Intervention (counseling); Machine learning; Ophthalmology; Diabetes mellitus","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":[0.01158661,0.0006799424,0.002630124,0.01388951,0.000333105,0.002062093,0.001505548,0.001110209,0.003158743],"category_scores_gemma":[0.05157412,0.000579213,0.003631457,0.015142,0.00060553,0.002131125,0.001171156,0.0009565508,0.0008930231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308199,"about_ca_system_score_gemma":0.003049386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006307197,"about_ca_topic_score_gemma":0.008181682,"domain_scores_codex":[0.9899436,0.002458005,0.003696914,0.00160654,0.002125119,0.0001697514],"domain_scores_gemma":[0.9401857,0.0406299,0.007553379,0.001615102,0.009543194,0.0004726799],"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":[0.0008459563,0.0001042898,0.08531208,0.1346837,0.00863311,0.0002394998,0.0004017451,0.0006633367,0.0006263896,0.001086385,0.0267415,0.740662],"study_design_scores_gemma":[0.0003937109,0.001067782,0.3921186,0.2070453,0.05445163,0.004305896,0.001740651,0.001918292,0.001974778,0.004209228,0.3304145,0.0003596157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006898822,0.9841797,0.0009609168,0.0008997395,0.0001324232,0.00006870655,0.005711587,0.00003993478,0.001108058],"genre_scores_gemma":[0.05294514,0.9326072,0.003727507,0.001381309,0.0003901635,0.0001763422,0.008485195,0.00003896132,0.0002481839],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01388951,"threshold_uncertainty_score":0.06127656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.022566326884096,"score_gpt":0.3048020168443622,"score_spread":0.2822356899602662,"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."}}