{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001480523,0.00006632043,0.0001386778,0.00006632322,0.00005070547,0.00002373012,0.00001574829,0.00002031005,0.000003324315],"category_scores_gemma":[0.0005367987,0.00005774543,0.00001089993,0.0001160851,0.0001440509,0.0002971122,0.00001900888,0.00007408029,5.263213e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004113686,"about_ca_system_score_gemma":0.000006828074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005694328,"about_ca_topic_score_gemma":7.058037e-7,"domain_scores_codex":[0.9994213,0.00006809273,0.0001740062,0.00016805,0.00009393651,0.00007459032],"domain_scores_gemma":[0.9995015,0.0002007606,0.0001077401,0.00004608712,0.00009464165,0.00004924311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001871283,0.0002266994,0.4424302,0.0002420201,0.00001963331,0.000006577106,0.01175271,0.000006801171,0.003133587,0.0002029314,0.00000734574,0.5417843],"study_design_scores_gemma":[0.002214661,0.001253653,0.9138781,0.0004070947,0.0002437579,0.00008979921,0.01112706,0.06144203,0.008258247,0.0005344963,0.0002841092,0.0002669602],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994729,0.0005688721,0.004005415,0.0001366232,0.00003211581,0.00006094517,5.84615e-7,0.000007594248,0.0004588251],"genre_scores_gemma":[0.998553,0.0002781541,0.001081608,0.00005627196,0.00001000126,0.000006631173,0.000003973747,0.000002430931,0.000007959799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5415174,"threshold_uncertainty_score":0.235479,"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."}}