{"id":"W2800546716","doi":"10.1167/iovs.17-23046","title":"Deep-Layer Microvasculature Dropout by Optical Coherence Tomography Angiography and Microstructure of Parapapillary Atrophy","year":2018,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Eye Institute; Genentech; National Institutes of Health; Heidelberg Engineering; Valeant Pharmaceuticals International; BrightFocus Foundation; Carl Zeiss Meditec AG; Allergan; Research to Prevent Blindness; Glaucoma Research Foundation","keywords":"Dropout (neural networks); Optical coherence tomography; Ophthalmology; Choroid; Medicine; Bruch's membrane; Lamina; Retinal; Optics; Anatomy; Retina; Physics; Retinal pigment epithelium","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007536422,0.0002548676,0.0002366887,0.0009398884,0.0002434041,0.0003177529,0.0001923089,0.0002776344,0.001204595],"category_scores_gemma":[0.00295765,0.0001828634,0.0002002743,0.0004586051,0.0003021216,0.0005351438,0.0004032645,0.0002452268,0.000149295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002110655,"about_ca_system_score_gemma":0.0002030557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001300724,"about_ca_topic_score_gemma":0.00145071,"domain_scores_codex":[0.9996703,0.00007393042,0.00004970891,0.00006387499,0.0000920387,0.00005023068],"domain_scores_gemma":[0.9973676,0.0004466113,0.001569813,0.0001530559,0.0002484426,0.0002145331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002695489,0.00002154004,0.9963966,0.000009133855,0.00003192535,0.0001240547,0.00003820173,0.00002669964,0.001467675,0.00001025442,0.00001403236,0.001590332],"study_design_scores_gemma":[0.000002977901,0.00008238106,0.9989771,0.000003244498,0.00001087968,0.0005852437,0.00003007929,0.0001260957,0.0001396482,0.00001016919,0.00003089799,0.000001377734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995316,0.0002032387,0.000123838,0.000006395741,7.67225e-7,0.00000505207,0.00003248443,0.000001944217,0.00009469259],"genre_scores_gemma":[0.9997808,0.00003678566,0.00008204403,0.000005073597,0.000002948087,0.000003903504,0.00005466025,5.966326e-7,0.00003315305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001300724,"threshold_uncertainty_score":0.004029751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225253444902292,"score_gpt":0.2923421375494011,"score_spread":0.2800896031003782,"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."}}