{"id":"W2759521701","doi":"10.1016/j.cjca.2017.07.176","title":"THE DIFFERENTIAL IMPACT AND LONG-TERM EFFECTS OF MECHANICAL OR BIOLOGICAL VALVE REPLACEMENTS IN MEDICARE PATIENTS ON HEMODIALYSIS","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Hemodialysis; Mechanical valve; Aortic valve replacement; Internal medicine; Mitral valve replacement; Propensity score matching; Cardiology; Logistic regression; Univariate analysis; Comorbidity; Valve replacement; Multivariate analysis; Surgery; Mitral valve; Stenosis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007264075,0.0002172563,0.0005655141,0.000568132,0.000692357,0.001088933,0.0004784316,0.0008477014,0.002985455],"category_scores_gemma":[0.005917584,0.0001735365,0.001533998,0.0009016077,0.0004920226,0.0009664868,0.0009425108,0.001316198,0.0002029241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083907,"about_ca_system_score_gemma":0.0008451983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01582594,"about_ca_topic_score_gemma":0.0345107,"domain_scores_codex":[0.9990233,0.0002268532,0.0001050446,0.0001010568,0.0001577053,0.0003860806],"domain_scores_gemma":[0.9956501,0.001189528,0.001385137,0.0001541903,0.0003087512,0.001312347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001370125,0.0001634576,0.9931535,0.00003375829,0.0003491375,0.000205102,0.0001339298,0.00008396826,0.0001924142,0.0000938403,0.0001480539,0.004072723],"study_design_scores_gemma":[0.00001148358,0.0001299021,0.9992157,0.00001117241,0.00008270566,0.00009275066,0.0002493454,0.0000407772,0.00001551758,0.00005232407,0.00009309538,0.000005209332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957809,0.0021458,0.00002327836,0.000444713,0.00003465007,0.000004471781,0.0003253712,8.812617e-7,0.001239886],"genre_scores_gemma":[0.9987661,0.0004928281,0.00001939696,0.00009745135,0.0000704751,0.000002023418,0.000372264,7.976057e-7,0.0001787604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01582594,"threshold_uncertainty_score":0.03146762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605059282281346,"score_gpt":0.3274163595103607,"score_spread":0.3113657666875473,"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."}}