{"id":"W3191652905","doi":"10.1016/j.cjco.2021.07.016","title":"Incidence and Predictors of Heart Failure in Patients With Atrial Fibrillation","year":2021,"lang":"en","type":"article","venue":"CJC Open","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"Canadian Institutes of Health Research; Gottfried und Julia Bangerter-Rhyner-Stiftung; Svenska Läkaresällskapet; Riksförbundet HjärtLung; Mach-Gaensslen Foundation of Canada; Servier; Pfizer; McMaster University; Universität Basel","keywords":"Medicine; Atrial fibrillation; Heart failure; Internal medicine; Cardiology; Incidence (geometry); Blood pressure; Clinical endpoint; Population; Left ventricular hypertrophy; Diabetes mellitus; Randomized controlled trial","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009817944,0.00005130298,0.0002235355,0.00004430683,0.00001782634,0.00002155866,0.00003197303,0.00003043386,0.0000807723],"category_scores_gemma":[0.0001247435,0.00004068858,0.00002551956,0.0001820313,0.00002036901,0.0001756167,0.0001118539,0.00003018082,0.000003201523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001188651,"about_ca_system_score_gemma":0.00005165053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003268954,"about_ca_topic_score_gemma":0.00006678449,"domain_scores_codex":[0.999481,0.00002635787,0.0001563229,0.0001252351,0.0001478859,0.00006324928],"domain_scores_gemma":[0.9996848,0.00004351628,0.00005375164,0.0001144672,0.00007101864,0.00003252472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003431274,0.000001519827,0.998646,0.00002261475,0.00002293129,0.000001609368,0.00007066197,0.00004407944,0.0000365098,0.00009132839,0.0003006408,0.0004190115],"study_design_scores_gemma":[0.003307893,0.0001312091,0.9861336,0.00007795178,0.00003524829,9.247626e-7,0.00005054405,0.00002694441,0.0001396174,0.00003040818,0.01002139,0.00004424441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975722,0.00004539255,0.000009658957,0.001351105,0.00006228445,0.00048682,0.000002576651,0.000006089323,0.0004638344],"genre_scores_gemma":[0.9980639,0.000007174094,0.001286387,0.00003931265,0.0001639974,2.401278e-7,0.00003946925,0.000005586688,0.0003939445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01251234,"threshold_uncertainty_score":0.1659232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305023505287381,"score_gpt":0.300731949772806,"score_spread":0.2776817147199322,"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."}}