{"id":"W1864524337","doi":"10.1002/cpe.3215","title":"Exudates and optic disk detection in retinal images of diabetic patients","year":2014,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Fundus (uterus); Retinal; Diabetic retinopathy; Computer science; Optic disc; Artificial intelligence; Optic disk; Ophthalmology; Computer vision; Blindness; Optometry; Medicine; 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":[0.0003175036,0.0002914139,0.0003011775,0.001737936,0.0001507388,0.0004342704,0.0001646358,0.0003505109,0.0007728143],"category_scores_gemma":[0.001295086,0.00009950993,0.0002255266,0.0004395606,0.0001139197,0.0002105889,0.0002572869,0.0001473216,0.0002315588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002022343,"about_ca_system_score_gemma":0.0001290379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001745011,"about_ca_topic_score_gemma":0.001532445,"domain_scores_codex":[0.9998074,0.00003758083,0.00002789342,0.0000386154,0.00006162683,0.00002684132],"domain_scores_gemma":[0.9996386,0.00009923511,0.0000869642,0.00002626146,0.00009434971,0.00005451093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005870321,0.0005705669,0.5207644,0.0006603238,0.0003535329,0.004006708,0.0004863312,0.006591514,0.122882,0.0003753807,0.002830172,0.3346088],"study_design_scores_gemma":[0.00009120364,0.0009555722,0.8206189,0.00006514849,0.0002212864,0.007962256,0.0005831827,0.1009416,0.06590773,0.0004150173,0.002180809,0.00005734975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947238,0.0005183779,0.003512543,0.00006108685,0.00001867765,0.00003144419,0.0002630684,0.0001126217,0.0007582799],"genre_scores_gemma":[0.9897495,0.000318922,0.009241742,0.00002821716,0.00001589468,0.000009544481,0.0002827871,0.00000803916,0.0003453225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001745011,"threshold_uncertainty_score":0.003469646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00914793945874287,"score_gpt":0.3079026110818377,"score_spread":0.2987546716230948,"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."}}