{"id":"W4386307275","doi":"10.18280/ts.400432","title":"Genetically Optimized Neural Network for Early Detection of Glaucoma and Cardiovascular Disease Risk Prediction","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disease; Artificial neural network; Computer science; Glaucoma; Artificial intelligence; Machine learning; Medicine; Internal medicine; Neuroscience; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004657734,0.0001016823,0.0002629786,0.00008562353,0.00009206679,0.00001753537,0.00003186007,0.00002912166,0.00001689285],"category_scores_gemma":[0.00004672852,0.00008761863,0.0003295438,0.0002265774,0.00005338684,0.00003860432,0.0000150221,0.00006889072,0.00000189906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001139343,"about_ca_system_score_gemma":0.0000144221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000470253,"about_ca_topic_score_gemma":5.66044e-7,"domain_scores_codex":[0.9989859,0.0000677346,0.0002508089,0.0002328932,0.0002758813,0.0001867742],"domain_scores_gemma":[0.9995011,0.00006066273,0.00005699511,0.0001524917,0.00008567888,0.0001430603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004303554,0.0001950127,0.7366014,0.0004423029,0.004001039,0.00005493371,0.000264115,0.07581563,0.01687857,0.00002258225,0.000780446,0.1606404],"study_design_scores_gemma":[0.00192699,0.0003272494,0.537475,0.00003911018,0.002089451,0.000003697124,0.00002336969,0.4572026,0.0005173958,0.00007258252,0.0002589705,0.00006355969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9398812,0.0005864583,0.05883548,0.0001237785,0.00005651603,0.000384111,0.00003617184,0.00007998527,0.0000163016],"genre_scores_gemma":[0.9976727,0.0001998306,0.001596233,0.00002507445,0.0003353023,0.00006235209,0.00004784772,0.00001579099,0.00004490191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3813869,"threshold_uncertainty_score":0.3572984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276622630755571,"score_gpt":0.2325366833309466,"score_spread":0.2197704570233909,"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."}}