{"id":"W2901000731","doi":"10.1093/europace/euy232","title":"Patient-specific simulations predict efficacy of ablation of interatrial connections for treatment of persistent atrial fibrillation","year":2018,"lang":"en","type":"article","venue":"EP Europace","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Engineering and Physical Sciences Research Council; King's Health Partners; Partnership for Advanced Computing in Europe AISBL; Wellcome Trust; Agence Nationale de la Recherche; National Institute for Health and Care Research; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Academy of Medical Sciences; Centre For Medical Engineering, King’s College London; British Heart Foundation; National Institute on Handicapped Research; Medical Research Council; Wellcome","keywords":"Medicine; Ablation; Fossa ovalis; Atrial fibrillation; Sinus rhythm; Coronary sinus; Cardiology; Internal medicine; Catheter ablation; Pulmonary vein; Atrium (architecture); Left atrium","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008649492,0.0001130476,0.0003567511,0.0002011463,0.00006761717,0.00000582859,0.00002686429,0.00004940121,0.0001341473],"category_scores_gemma":[0.0003270752,0.000098349,0.000606104,0.0002597676,0.00009104043,0.0000687272,0.00001520669,0.00001474487,0.00000469206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006554586,"about_ca_system_score_gemma":0.0000389659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000169421,"about_ca_topic_score_gemma":0.000004816771,"domain_scores_codex":[0.9988803,0.00006150892,0.0005814564,0.0001718994,0.0002030047,0.0001018812],"domain_scores_gemma":[0.9984433,0.0004862829,0.0004133105,0.0002187458,0.0003964187,0.00004195407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0578827,0.000527658,0.4178109,0.0008799149,0.005084426,0.000002805547,0.02280887,0.2165262,0.1150484,0.008542242,0.003602697,0.1512832],"study_design_scores_gemma":[0.06989842,0.05168257,0.220466,0.0005041075,0.005206406,0.00001226796,0.001748469,0.1601076,0.08297049,0.0002187637,0.406443,0.0007419515],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926023,0.0002672927,0.003813677,0.0003489878,0.0008144407,0.001517415,0.00009026574,0.00003012951,0.0005154325],"genre_scores_gemma":[0.9962755,0.00005152125,0.001135638,0.000002668693,0.001975264,7.739413e-7,0.0001322779,0.0000164192,0.0004099568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4028403,"threshold_uncertainty_score":0.4010556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06938032515436393,"score_gpt":0.3328687492662976,"score_spread":0.2634884241119336,"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."}}