{"id":"W2517309197","doi":"10.1097/iae.0000000000001250","title":"ULTRAHIGH SPEED SWEPT SOURCE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY OF RETINAL AND CHORIOCAPILLARIS ALTERATIONS IN DIABETIC PATIENTS WITH AND WITHOUT RETINOPATHY","year":2016,"lang":"en","type":"article","venue":"Retina","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":187,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Eye Institute; Natural Sciences and Engineering Research Council of Canada; Samsung; National Cancer Institute; National Institutes of Health; Research to Prevent Blindness","keywords":"Diabetic retinopathy; Medicine; Ophthalmology; Retinopathy; Retinal; Fluorescein angiography; Optical coherence tomography angiography; Angiography; Optical coherence tomography; Retina; Diabetes mellitus; Internal medicine; Endocrinology; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009364825,0.0002066707,0.000356177,0.0002086036,0.00005286534,0.00001921549,0.00004787134,0.00007553119,0.00004767563],"category_scores_gemma":[0.00006404599,0.000125202,0.0000930181,0.0003346138,0.0003854717,0.00007536979,0.00003001442,0.00008778799,0.000004201258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001660319,"about_ca_system_score_gemma":0.0000251367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005913626,"about_ca_topic_score_gemma":0.000006780779,"domain_scores_codex":[0.9987177,0.0000592371,0.0002823782,0.0003807875,0.0002901071,0.000269793],"domain_scores_gemma":[0.9991888,0.000084869,0.0001131753,0.0002409326,0.0001298337,0.0002424151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008668434,0.0003121074,0.9952799,0.00008606691,0.00007446294,0.00001215367,0.0001229285,1.287366e-7,0.001096575,0.0001017925,0.0000275435,0.002019464],"study_design_scores_gemma":[0.00358229,0.001627429,0.9924468,0.0008199365,0.0002483326,0.00001938648,0.00004506819,0.000006242034,0.0009352426,0.00006254308,0.00004945916,0.0001572128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972711,0.0007127957,0.00005711126,0.0002329894,0.00001907695,0.0005443737,0.00003110577,0.0000199719,0.001111481],"genre_scores_gemma":[0.9989007,0.0001131328,0.0007653667,0.00004034752,0.00002102817,0.00001630554,0.00002236,0.00001939157,0.0001013816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002833076,"threshold_uncertainty_score":0.5105587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005502862964503974,"score_gpt":0.2222441323934466,"score_spread":0.2167412694289427,"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."}}