{"id":"W3046486971","doi":"10.25270/jic/20.00031","title":"Patient Risk Assessment for Transcatheter Aortic Valve Replacement at Veterans Health Administration Hospitals","year":2020,"lang":"en","type":"article","venue":"˜The œJournal of invasive cardiology/˜The œjournal of invasive cardiology","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Administration (probate law); Medicine; Aortic valve replacement; Emergency medicine; Medical emergency; Internal medicine; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007340813,0.0001837213,0.0001769914,0.0007697945,0.0003022153,0.0007257419,0.0003072786,0.0003044402,0.001900712],"category_scores_gemma":[0.004533311,0.00009814235,0.0004453063,0.0009436727,0.0001671507,0.0003775807,0.0006214515,0.0004965937,0.0001955611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003561523,"about_ca_system_score_gemma":0.0005280539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003010228,"about_ca_topic_score_gemma":0.004123982,"domain_scores_codex":[0.9989144,0.0003034357,0.0001961543,0.0001916331,0.0002345847,0.0001598585],"domain_scores_gemma":[0.9961755,0.0003919394,0.002659668,0.0001154473,0.0003002064,0.000357157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002294417,0.00001042494,0.998917,0.000005342002,0.000026103,0.00001586018,0.00002770582,0.00004665328,0.00003079306,0.00002596718,0.0001177524,0.0007535077],"study_design_scores_gemma":[0.000004504349,0.00006549169,0.998616,0.00001252065,0.00001773289,0.0002521851,0.0002135909,0.0004014846,0.00006623715,0.00005029551,0.0002959385,0.000004024456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99754,0.0002044292,0.0002380775,0.0001712518,0.00001336983,0.00001332184,0.0009178727,0.000009630494,0.0008921522],"genre_scores_gemma":[0.9990897,0.00005081153,0.0001198129,0.00003083174,0.00001588527,0.000008224444,0.0006148356,0.000001165618,0.00006878131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003010228,"threshold_uncertainty_score":0.006358504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327279184388398,"score_gpt":0.3255227841626948,"score_spread":0.3022499923188108,"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."}}