{"id":"W4368228275","doi":"10.32604/iasc.2023.038338","title":"Machine Learning Prediction Models of Optimal Time for Aortic Valve Replacement in Asymptomatic Patients","year":2023,"lang":"en","type":"article","venue":"Intelligent Automation & Soft Computing","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; Université Laval","keywords":"Aortic valve replacement; Computer science; Support vector machine; Decision tree; CHAID; Medicine; Stenosis; Asymptomatic; Artificial intelligence; Surgery; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002795944,0.000742377,0.001112618,0.0009361681,0.0002882097,0.001185737,0.0008741941,0.001145082,0.00382175],"category_scores_gemma":[0.01006486,0.0003117702,0.0007147562,0.0005753582,0.0003157628,0.0006468223,0.0005354977,0.001895935,0.0008334125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006979496,"about_ca_system_score_gemma":0.0009201085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01166284,"about_ca_topic_score_gemma":0.007307688,"domain_scores_codex":[0.9995322,0.000159926,0.00003482369,0.0001249402,0.0000419211,0.0001062169],"domain_scores_gemma":[0.9939163,0.004717649,0.0004697697,0.0001471897,0.0004149139,0.0003341807],"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":[0.001510652,0.0007461595,0.1326685,0.00009628567,0.0002542256,0.0004589596,0.0001622785,0.799171,0.0005295268,0.003584576,0.007910419,0.05290736],"study_design_scores_gemma":[0.00002326254,0.00006277359,0.004891693,0.00001467893,0.00001853172,0.00002629481,0.00001970724,0.9933066,0.00006418604,0.001421786,0.0001417873,0.000008801075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9101749,0.002030718,0.0764444,0.00433476,0.0003704056,0.00007150722,0.003046124,0.000376426,0.003150711],"genre_scores_gemma":[0.9921822,0.0002977913,0.004010319,0.0001247638,0.00009638142,0.00004872514,0.001395139,0.00002139797,0.001823276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01166284,"threshold_uncertainty_score":0.0231899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848982581673441,"score_gpt":0.312732152241804,"score_spread":0.2942423264250696,"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."}}