{"id":"W4281700844","doi":"10.3390/jcdd9060189","title":"Structured Allocation of Transcatheter Aortic Valve Replacement Patients during Coronavirus Disease 2019 Pandemic: Impact on Patient Selection and Clinical Results","year":2022,"lang":"en","type":"article","venue":"Journal of Cardiovascular Development and Disease","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Valve replacement; Coronavirus disease 2019 (COVID-19); Medicine; Selection (genetic algorithm); Disease; 2019-20 coronavirus outbreak; Cardiology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; Internal medicine; Intensive care medicine; Virology; Infectious disease (medical specialty); Outbreak; Stenosis; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004313748,0.0002054577,0.0005242313,0.0001646655,0.0001537034,0.00001639392,0.00004193918,0.00003074226,0.00001600766],"category_scores_gemma":[0.0001114014,0.0001566178,0.002525169,0.0001057726,0.00003137679,0.00008628445,0.000050719,0.0001653418,5.229248e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002898761,"about_ca_system_score_gemma":0.0004646458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007751428,"about_ca_topic_score_gemma":1.71718e-7,"domain_scores_codex":[0.9975789,0.0001988152,0.0007887976,0.0002899825,0.0009670582,0.0001764215],"domain_scores_gemma":[0.9984128,0.00003377198,0.0003534783,0.0002211134,0.0002102946,0.000768581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02212745,0.0009160011,0.9233371,0.0001001215,0.009959918,0.00002007982,0.0002550677,0.001042716,0.000008873904,0.000001473633,0.00005151261,0.0421797],"study_design_scores_gemma":[0.009757639,0.0009341016,0.9834805,0.00009960603,0.005068795,0.00001700928,0.00006192391,0.00004700936,0.00002820037,0.000023894,0.0003329721,0.0001484249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993331,0.005730348,0.00002017927,0.00002841197,0.0001963893,0.0005493788,0.0001258633,0.00000850695,0.000009975844],"genre_scores_gemma":[0.9988004,0.0008278707,0.00007109779,0.00004634255,0.00005699178,0.00001937428,0.0001456383,0.00001941677,0.00001287281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06014334,"threshold_uncertainty_score":0.638669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837688850297008,"score_gpt":0.3221729394995241,"score_spread":0.303796050996554,"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."}}