{"id":"W2022518089","doi":"10.1016/j.amjmed.2014.05.003","title":"Stroke and Bleeding Risk Co-distribution in Real-world Patients with Atrial Fibrillation: The Euro Heart Survey","year":2014,"lang":"en","type":"article","venue":"The American Journal of Medicine","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Population Health Research Institute; McMaster University","funders":"St. Jude Medical; Sociedade Portuguesa de Cardiologia; Österreichische Kardiologische Gesellschaft; Bayer; Fédération Française de Cardiologie; Boehringer Ingelheim; Medtronic; Sanofi; Bristol-Myers Squibb; AstraZeneca; Hellenic Cardiological Society; Pfizer","keywords":"Medicine; Atrial fibrillation; Internal medicine; Stroke (engine); Heart failure; Diabetes mellitus; Cardiology; CHA2DS2–VASc score; Concordance; Ischemia; Ischemic stroke","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":[0.001434759,0.0003617997,0.0006592246,0.00120872,0.000265312,0.001061181,0.0005537326,0.0009717599,0.0008797944],"category_scores_gemma":[0.004709141,0.0003313298,0.00105786,0.00268649,0.0002993637,0.001509296,0.001120351,0.0009024097,0.0002641495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004738629,"about_ca_system_score_gemma":0.0004242585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01519279,"about_ca_topic_score_gemma":0.01895029,"domain_scores_codex":[0.9985768,0.0004743865,0.0003718192,0.0002376044,0.000182114,0.0001573238],"domain_scores_gemma":[0.9961414,0.0005718119,0.002119514,0.0003040397,0.0003547097,0.0005085669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005606536,0.00001963986,0.9989749,0.00001043652,0.0001513845,0.00002595631,0.00003772492,0.00005712057,0.00001883128,0.00001583163,0.0002613172,0.000370773],"study_design_scores_gemma":[0.000006842954,0.00003005621,0.9992422,0.000005986008,0.00003748366,0.0001128045,0.0002037795,0.0001516259,0.000008857771,0.00001749614,0.0001773202,0.000005580307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929649,0.0004565473,0.0001267938,0.0003126587,0.00001935859,0.00001004674,0.005628665,0.000007294645,0.000473728],"genre_scores_gemma":[0.995097,0.000259495,0.00008843739,0.0001072949,0.00002220526,0.00001283067,0.00429443,0.000003201278,0.0001152007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01519279,"threshold_uncertainty_score":0.03020871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03509381901938644,"score_gpt":0.3265323342149072,"score_spread":0.2914385151955207,"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."}}