{"id":"W2112387318","doi":"10.1161/circulationaha.114.009892","title":"Integrating Genetic, Transcriptional, and Functional Analyses to Identify 5 Novel Genes for Atrial Fibrillation","year":2014,"lang":"en","type":"review","venue":"Circulation","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":209,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Diabetes and Digestive and Kidney Diseases; National Human Genome Research Institute; National Heart, Lung, and Blood Institute; National Institute on Aging; National Center for Advancing Translational Sciences; Medical Research Council; Canadian Institutes of Health Research; National Institutes of Health; Universität Greifswald; Malmö Högskola; Siemens; Hjärt-Lungfonden; Donald W. Reynolds Foundation; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Erasmus Medisch Centrum; Bundesministerium für Bildung und Forschung; Danmarks Grundforskningsfond; National Center for Research Resources; Arvid Nilssons Fond; Fondation Leducq; School of Medicine, Boston University; European Commission; Georgia Clinical and Translational Science Alliance; Stiftung zur Erforschung der Vaskulären Demenz; Cleveland Clinic; Bristol-Myers Squibb; Government of Ontario; Rigshospitalet; Johns Hopkins University; Erasmus Universiteit Rotterdam; Villadsen Family Foundation; Novo Nordisk Fonden; Heart and Stroke Foundation of Canada; Lunds Universitet; ZonMw; National Research Foundation; Amgen; Hjerteforeningen; National Cancer Institute; Ministry of Cultural Affairs; Wake Forest University; American Heart Association","keywords":"Medicine; Atrial fibrillation; Gene; Cardiology; Computational biology; Internal medicine; Bioinformatics; Genetics; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001497377,0.0006323143,0.000522192,0.001083966,0.0003328101,0.0006391896,0.0004538484,0.000554329,0.001264114],"category_scores_gemma":[0.001225889,0.0002032914,0.001168575,0.0009872072,0.0004359937,0.0002572175,0.0008752921,0.0006195874,0.0002778929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004152225,"about_ca_system_score_gemma":0.0007183888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002243743,"about_ca_topic_score_gemma":0.003984256,"domain_scores_codex":[0.9992415,0.0001303425,0.00004028492,0.0003649722,0.0001317695,0.00009118991],"domain_scores_gemma":[0.9993389,0.0003104246,0.0001366823,0.00005650568,0.00007952863,0.00007795798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001246873,0.0003818807,0.3566588,0.000615841,0.001439676,0.001475369,0.0004655959,0.005682433,0.523127,0.001120115,0.0007268203,0.1070596],"study_design_scores_gemma":[0.0002959606,0.001005468,0.9150075,0.00009866291,0.00270302,0.003193176,0.0003855829,0.02513244,0.04322106,0.002870039,0.006006759,0.00008036483],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9666697,0.00259286,0.02658886,0.0003514646,0.00004558348,0.00009217782,0.001630856,0.0002225736,0.001805813],"genre_scores_gemma":[0.9588998,0.000680211,0.0374211,0.0003765449,0.000037004,0.00008948366,0.001781642,0.0000351005,0.0006790294],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002243743,"threshold_uncertainty_score":0.007918954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3018767975115106,"score_gpt":0.4596796671208668,"score_spread":0.1578028696093562,"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."}}