{"id":"W2587564293","doi":"10.1016/j.jcin.2016.12.209","title":"CRT-800.02 Severe Predicted Patient-prosthesis Mismatch As A Predictor Of Long Term Mortality After Aortic Valve-in-valve: Insights From The Valve-in-valve International Data Registry (vivid)","year":2017,"lang":"en","type":"article","venue":"JACC: Cardiovascular Interventions","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Internal medicine; Cardiology; Medicine; Aortic valve; Prosthesis; Aortic valve replacement; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007394718,0.0002596668,0.0005153025,0.0004283395,0.0002189518,0.001118853,0.0004867534,0.0007411527,0.002163016],"category_scores_gemma":[0.003332682,0.0001818204,0.0006045953,0.000921233,0.0002105092,0.0005570936,0.0006777595,0.001248715,0.0004704005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002261282,"about_ca_system_score_gemma":0.0003601944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001537845,"about_ca_topic_score_gemma":0.003154537,"domain_scores_codex":[0.9994741,0.000138951,0.00007549406,0.0001193825,0.00009883771,0.0000931041],"domain_scores_gemma":[0.9971991,0.0008358876,0.00107408,0.0002840793,0.0001633617,0.0004436154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003786646,0.00003456498,0.9966006,0.00001306547,0.00009166449,0.00006298056,0.00002356769,0.00009860234,0.000194872,0.00007534042,0.0005759242,0.001850274],"study_design_scores_gemma":[0.00002155566,0.00006123326,0.9986981,0.000007921509,0.00008922592,0.0001812476,0.00006271209,0.0004003684,0.00006595906,0.0001139835,0.0002910158,0.000006604689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930393,0.0006109296,0.0002039299,0.000306191,0.00003558203,0.000009440841,0.003615865,0.00001500598,0.002163772],"genre_scores_gemma":[0.9957241,0.0001726002,0.000215199,0.0001458241,0.00009282742,0.00001076839,0.003371171,0.00001232463,0.0002552003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002163016,"threshold_uncertainty_score":0.007236004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964409408500814,"score_gpt":0.3512460507329208,"score_spread":0.3116019566479126,"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."}}