{"id":"W4206270636","doi":"10.1136/bmjopen-2021-049933","title":"Do baseline characteristics and treatments account for geographical disparities in the outcomes of patients with newly diagnosed atrial fibrillation? The prospective GARFIELD-AF registry","year":2022,"lang":"en","type":"article","venue":"BMJ Open","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Allergan; Servier; Daiichi-Sankyo; ARCA Biopharma; Regeneron Pharmaceuticals; National Heart, Lung, and Blood Institute; Pfizer; LivaNova; Zafgen; Boston Scientific Corporation; Janssen Pharmaceuticals; Gilead Sciences; Amgen; Nakatani Foundation for Advancement of Measuring Technologies in Biomedical Engineering; AstraZeneca; Bristol-Myers Squibb; Bayer; Daiichi Sankyo Europe; Bayer HealthCare; Sanofi; American Heart Association","keywords":"Medicine; Atrial fibrillation; Antithrombotic; Stroke (engine); Prospective cohort study; Anticoagulant; Warfarin; Internal medicine; Emergency medicine; Mortality rate","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":[0.004079757,0.0001671246,0.0004757652,0.001111887,0.000358312,0.000792836,0.0006691202,0.0004351723,0.001229864],"category_scores_gemma":[0.01392,0.000169377,0.0006848873,0.00261532,0.0003471727,0.0007068511,0.0007872352,0.000418768,0.000255872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002825023,"about_ca_system_score_gemma":0.000513895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007310338,"about_ca_topic_score_gemma":0.009569061,"domain_scores_codex":[0.9963653,0.00156314,0.000674165,0.0007020825,0.000427099,0.0002681543],"domain_scores_gemma":[0.9846655,0.003181309,0.008700362,0.001985329,0.0008032765,0.0006642515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009008686,0.00001095133,0.9983394,0.00001223847,0.00008157358,0.00002402599,0.00007568977,0.00008310406,0.00003344435,0.00004990189,0.0001506425,0.00104894],"study_design_scores_gemma":[0.000007636942,0.00002672009,0.9993207,0.00001174907,0.00003444018,0.00006952923,0.0001132272,0.0001459435,0.00002418471,0.00004721446,0.0001943881,0.000004314132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933299,0.000730991,0.0004536699,0.0003550963,0.00001795609,0.00002672404,0.003725886,0.000008478676,0.001351215],"genre_scores_gemma":[0.9974946,0.0001452473,0.0001591901,0.00005190601,0.00001393827,0.00001946338,0.00204909,0.000004700535,0.0000619643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007310338,"threshold_uncertainty_score":0.02157611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05217005686757673,"score_gpt":0.3642730400929638,"score_spread":0.3121029832253871,"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."}}