{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027006,0.0001633862,0.0003188331,0.0003339559,0.0002092419,0.0006252549,0.0002993508,0.0003254349,0.0009666561],"category_scores_gemma":[0.008749031,0.0001003382,0.0003125634,0.0002277363,0.0002589819,0.0002581575,0.0007064174,0.0003160154,0.0001593928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005578067,"about_ca_system_score_gemma":0.0009070837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008238622,"about_ca_topic_score_gemma":0.000768624,"domain_scores_codex":[0.9975321,0.00149117,0.0002123833,0.000269505,0.0002637459,0.0002310754],"domain_scores_gemma":[0.9965436,0.001210741,0.0009932411,0.0002368236,0.0002449175,0.0007705969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008630424,0.001690544,0.7875605,0.0001734285,0.0002137278,0.0002947045,0.0009428404,0.01814937,0.004397062,0.001003907,0.001802967,0.1751405],"study_design_scores_gemma":[0.001277959,0.01418142,0.8811375,0.0001565195,0.0001870482,0.0007738417,0.001182879,0.09174471,0.003504593,0.002487962,0.003285982,0.00007955494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966633,0.0001931636,0.002136964,0.0002512749,0.00004614387,0.0001076408,0.00006482386,0.00001118095,0.0005255011],"genre_scores_gemma":[0.998082,0.00005777204,0.001469571,0.000119519,0.00002263909,0.00005227383,0.0001128188,0.000002374432,0.00008097589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0027006,"threshold_uncertainty_score":0.01428229,"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."}}