{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004085579,0.0006471333,0.0004605054,0.0004807117,0.0001965862,0.0003897226,0.0005752742,0.0005638048,0.0005259191],"category_scores_gemma":[0.001412763,0.0001972939,0.0003689044,0.0002655894,0.0002210032,0.0003826436,0.0003161227,0.0006085632,0.0001199973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000587323,"about_ca_system_score_gemma":0.0005907459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007921766,"about_ca_topic_score_gemma":0.007110607,"domain_scores_codex":[0.9998114,0.00003752805,0.00001209383,0.00005518134,0.00005170289,0.00003225514],"domain_scores_gemma":[0.9996622,0.0001386699,0.00006228377,0.00001779874,0.0001004416,0.00001860471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000232432,0.0001781931,0.01050017,0.00007173519,0.0001077151,0.0002446802,0.00004373674,0.7749335,0.01187134,0.001607034,0.001791564,0.1984179],"study_design_scores_gemma":[0.000003995655,0.00003401022,0.0008707917,0.000006000603,0.00001468987,0.0000219878,0.000003799211,0.9973928,0.001097392,0.0004099878,0.0001398982,0.000004742795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4775645,0.002903078,0.5095318,0.0006904804,0.0002252733,0.0001011493,0.000381246,0.001697449,0.006904978],"genre_scores_gemma":[0.9587693,0.0003828294,0.038525,0.0001509088,0.00002469156,0.00004703718,0.0002863379,0.00002101497,0.001792956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007921766,"threshold_uncertainty_score":0.0157513,"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."}}