{"id":"W3216610330","doi":"10.1016/j.iccl.2021.09.004","title":"Cardiac Computed Tomography and Magnetic Resonance Imaging of the Tricuspid Valve: Preprocedural Planning and Postprocedural Follow-up","year":2021,"lang":"en","type":"review","venue":"Interventional Cardiology Clinics","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Circle Cardiovascular Imaging; Abbott Vascular; Boston Scientific Corporation; Edwards Lifesciences; Medtronic","keywords":"Medicine; Tricuspid valve; Magnetic resonance imaging; Radiology; Computed tomography; Cardiac magnetic resonance; Cardiac magnetic resonance imaging; Surgical planning; Cardiology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003841148,0.0004201899,0.002623131,0.000164954,0.0001019514,0.00002602412,0.0001408219,0.0002581841,0.00001090899],"category_scores_gemma":[0.0003626963,0.0002994638,0.009163317,0.0003212953,0.0003384871,0.00004083653,0.0003857,0.0004499808,0.000001711583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005236955,"about_ca_system_score_gemma":0.0002962222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007424709,"about_ca_topic_score_gemma":2.71324e-7,"domain_scores_codex":[0.9973175,0.0004316326,0.0009945165,0.0007068688,0.0002682863,0.0002811972],"domain_scores_gemma":[0.9982064,0.0004742433,0.0004495748,0.0004492917,0.0002819711,0.0001385124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009280083,0.00007776761,0.6893941,0.006139415,0.003537451,0.00005908379,0.00002235001,7.265964e-7,1.348925e-7,0.00008530858,0.0008563774,0.2997345],"study_design_scores_gemma":[0.001973972,0.0003699526,0.8653281,0.0233232,0.01577825,0.0009727557,0.00006690939,0.000009497541,2.847173e-7,0.0001039116,0.09172847,0.0003446603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009433481,0.987596,0.000006984503,0.00003615836,0.001352748,0.0008124242,0.0005971671,0.0000253314,0.0001396537],"genre_scores_gemma":[0.0596138,0.9387667,0.00009626441,0.00009774797,0.0003884394,0.0001343426,0.0006128361,0.00006028043,0.0002295407],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2993899,"threshold_uncertainty_score":0.9999458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03603306391364868,"score_gpt":0.3946920343443274,"score_spread":0.3586589704306787,"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."}}