{"id":"W2129800543","doi":"10.1160/th15-02-0158","title":"‘Real world’ use of non-vitamin K antagonist oral anticoagulants (NOACs): Lessons from the Dresden NOAC Registry","year":2015,"lang":"en","type":"letter","venue":"Thrombosis and Haemostasis","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thrombosis and Atherosclerosis Research Institute","funders":"","keywords":"Vitamin K antagonist; Antagonist; Medicine; Vitamin k; Rivaroxaban; Intensive care medicine; Pharmacology; Internal medicine; Warfarin; Atrial fibrillation; Receptor","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":[0.01570184,0.0002991089,0.0007560433,0.001082041,0.001381033,0.00465671,0.001414908,0.01136779,0.002641681],"category_scores_gemma":[0.09087256,0.0004782595,0.0007505854,0.001923344,0.002447273,0.005930816,0.002149105,0.01066005,0.0009994779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00347202,"about_ca_system_score_gemma":0.004314112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0124379,"about_ca_topic_score_gemma":0.022646,"domain_scores_codex":[0.9824246,0.008913505,0.003531209,0.001409491,0.00300058,0.0007206497],"domain_scores_gemma":[0.9095609,0.05907616,0.01270129,0.005357986,0.00747901,0.005824673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000277836,0.0001497023,0.09083109,0.0004416407,0.0002605452,0.004363321,0.002416278,0.0004337133,0.0001864778,0.02020512,0.7922187,0.08821557],"study_design_scores_gemma":[0.000750044,0.0003164075,0.1512214,0.006320544,0.0005270306,0.01713042,0.009028396,0.002202829,0.0005138902,0.04957668,0.7618647,0.0005477241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006469525,0.00660914,0.0003679868,0.9779906,0.003668139,0.000006561738,0.0004360598,0.00003437207,0.004417574],"genre_scores_gemma":[0.1962401,0.02203288,0.002733212,0.7390894,0.03664282,0.00005577869,0.001056686,0.00009636849,0.002052684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01570184,"threshold_uncertainty_score":0.08304024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2612572560986615,"score_gpt":0.4051404423773734,"score_spread":0.1438831862787119,"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."}}