{"id":"W2782336026","doi":"10.1016/j.acvdsp.2017.11.280","title":"Incidence, predictors, and impact of bioprosthesis valve hemodynamic deterioration following aortic valve replacement","year":2018,"lang":"en","type":"article","venue":"Archives of Cardiovascular Diseases Supplements","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Medicine; Hemodynamics; Incidence (geometry); Cardiology; Aortic valve replacement; Internal medicine; Aortic valve; Stenosis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001420252,0.0002971023,0.0008506966,0.0002545885,0.00009745902,0.00001970572,0.0001052882,0.00004017501,0.00006725141],"category_scores_gemma":[0.00008272565,0.0002507121,0.008005555,0.0001943397,0.000252051,0.0001567651,0.0001264985,0.00004828042,0.0000032301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008008551,"about_ca_system_score_gemma":0.0001672499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003182202,"about_ca_topic_score_gemma":0.00000218898,"domain_scores_codex":[0.9977741,0.0001261161,0.0005191453,0.000484709,0.0007512834,0.0003446146],"domain_scores_gemma":[0.9984837,0.00006961947,0.000186024,0.0008344408,0.00009843236,0.0003277829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006934769,0.0003428179,0.9534854,0.0002332098,0.03344091,0.000007218539,0.0002651838,0.00002080691,0.001009299,0.00000589137,0.0000326908,0.01046309],"study_design_scores_gemma":[0.003744439,0.001428759,0.9783787,0.0003033455,0.01449039,0.000008447629,0.0001055271,0.000319754,0.0007650193,0.0002167549,0.00005226388,0.0001866672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914505,0.005844476,0.0006008272,0.000006419353,0.00009549809,0.001045242,0.0007843349,0.00003040911,0.0001422919],"genre_scores_gemma":[0.9977682,0.0007680751,0.0006335711,0.00001169676,0.00008323496,0.0000761815,0.0006080329,0.00003890549,0.00001211497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02489322,"threshold_uncertainty_score":0.9999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006582100137119315,"score_gpt":0.2957912392552173,"score_spread":0.289209139118098,"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."}}