{"id":"W4236219058","doi":"10.1161/circ.103.suppl_1.9998-50","title":"Effect of Co-Morbidities on Anticoagulation Rates Among Chronic Atrial Fibrillation Patients","year":2001,"lang":"en","type":"article","venue":"Circulation","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Atrial fibrillation; Stroke (engine); Internal medicine; Heart failure; Diabetes mellitus; Warfarin; Angina; Cardiology; Myocardial infarction; Canadian Cardiovascular Society; Logistic regression; Multivariate analysis; Comorbidity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001548531,0.0002260502,0.0003431176,0.0009985252,0.0004602287,0.0009050524,0.000418507,0.0004945399,0.003295076],"category_scores_gemma":[0.01196799,0.0002444791,0.0008721669,0.001479641,0.000408457,0.0005035093,0.0006447969,0.0007961186,0.0003595021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004662877,"about_ca_system_score_gemma":0.0005075901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007720476,"about_ca_topic_score_gemma":0.009054224,"domain_scores_codex":[0.9978041,0.0005875548,0.0003310535,0.0003483867,0.0006450384,0.0002838199],"domain_scores_gemma":[0.9812683,0.006271353,0.009064703,0.0006631907,0.0009156466,0.001816695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004260298,0.000008371417,0.9996566,0.000002440483,0.00001982014,0.00001248717,0.000007802943,0.00001071818,0.000009629333,0.000003132821,0.00002544607,0.0002009276],"study_design_scores_gemma":[0.000003349774,0.0000478174,0.9996483,0.000003484343,0.00001522576,0.00009359496,0.00003615697,0.00009469895,0.00001183373,0.000004865203,0.00003939629,0.000001264935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998678,0.0002049095,0.00002583548,0.0000675247,0.000005281655,0.000006997016,0.0005089908,0.000002202561,0.0005002135],"genre_scores_gemma":[0.9993777,0.00006819408,0.0000273163,0.00001701756,0.00001238164,0.000006464702,0.0004254958,0.000001268104,0.00006403938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007720476,"threshold_uncertainty_score":0.01535106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03497733119418908,"score_gpt":0.336956088317979,"score_spread":0.3019787571237899,"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."}}