{"id":"W3027554704","doi":"10.1016/j.ophtha.2020.05.032","title":"Peripapillary Retinal Segmentation in OCT Angiography","year":2020,"lang":"en","type":"article","venue":"Ophthalmology","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Nova Scotia Health Authority; Dalhousie University","funders":"Canadian Institutes of Health Research; Heidelberg Engineering; Alcon Research Institute; Dalhousie Medical Research Foundation","keywords":"Glaucoma; Medicine; Ophthalmology; Retinal; Optic nerve; Optical coherence tomography; Nerve fiber layer; Retina; Angiography; Optometry; Radiology; Optics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005103996,0.00008623906,0.0001755673,0.000095856,0.00002233873,0.000003338893,0.0000466823,0.00008016512,0.0006269937],"category_scores_gemma":[0.00003528034,0.00007673748,0.0001171359,0.0003094732,0.000067963,0.00002498364,0.00002088499,0.0001327024,0.00007421813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001119118,"about_ca_system_score_gemma":0.00002377541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003933776,"about_ca_topic_score_gemma":6.337361e-7,"domain_scores_codex":[0.9993395,0.00005305663,0.0001481567,0.0001943197,0.00008984809,0.0001751796],"domain_scores_gemma":[0.999755,0.00001833277,0.00003082336,0.0000803629,0.00001995485,0.0000955289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003614311,0.00007080314,0.9839032,0.00006049055,0.00002456749,0.001919177,0.0004775771,0.000001013553,0.01194629,0.00008165821,0.0007281766,0.0004255985],"study_design_scores_gemma":[0.001018547,0.0010269,0.9935659,0.00002011501,0.00003390926,0.002145331,0.0006324205,0.00007883243,0.0004176626,0.0001152895,0.0008538773,0.00009118297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975123,0.000738633,0.00001324691,0.0057066,0.00007328097,0.000187355,0.000001510686,0.00002278608,0.01813358],"genre_scores_gemma":[0.9980923,0.00002434156,0.0006998365,0.0009608789,0.00005783868,0.0000120504,0.00003565659,0.00001113659,0.0001059606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02296929,"threshold_uncertainty_score":0.6865141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02267167068275826,"score_gpt":0.2862042065010563,"score_spread":0.263532535818298,"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."}}