{"id":"W2804487130","doi":"10.1016/j.jcmg.2018.03.018","title":"Development of a Risk Score Based on Aortic Calcification to Predict 1-Year Mortality After Transcatheter Aortic Valve Replacement","year":2018,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Cohort; Cardiology; Internal medicine; Confidence interval; Valve replacement; Framingham Risk Score; Calcification; Proportional hazards model; Aortic valve; Hazard ratio; Disease; 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":[0.002888728,0.001127711,0.00088475,0.002067286,0.0003752266,0.00154085,0.0006398979,0.0006982051,0.0008588077],"category_scores_gemma":[0.00766722,0.0003585189,0.001161622,0.0007927155,0.0003437308,0.0009189752,0.0008268349,0.001050689,0.000301685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005454971,"about_ca_system_score_gemma":0.0011993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00177039,"about_ca_topic_score_gemma":0.002643384,"domain_scores_codex":[0.998771,0.0003920338,0.0001734345,0.0001412857,0.0004012521,0.000120917],"domain_scores_gemma":[0.9969181,0.001008712,0.0006755498,0.000145661,0.0009782154,0.0002738962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001379848,0.000587906,0.9593799,0.00004457303,0.0006565904,0.000125737,0.00009938755,0.001384304,0.001093941,0.0002372765,0.0008730759,0.03413744],"study_design_scores_gemma":[0.0007216908,0.003093361,0.9293224,0.00008856616,0.001593979,0.0006899484,0.0003475307,0.05780786,0.002842493,0.001383513,0.002018524,0.00009021123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993714,0.0004008518,0.003327753,0.000307644,0.0001224221,0.0001321188,0.000324019,0.00005174658,0.001619467],"genre_scores_gemma":[0.9930495,0.0002277216,0.005218314,0.00008010009,0.00009273007,0.00009525384,0.0006742278,0.0000124608,0.0005497214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002888728,"threshold_uncertainty_score":0.01527721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678964620257259,"score_gpt":0.3023451414653254,"score_spread":0.2855554952627528,"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."}}