{"id":"W2946768561","doi":"10.1093/cvr/cvz121","title":"Computational models of the atrial fibrillation substrate: can they explain post-ablation recurrences and help to prevent them","year":2019,"lang":"en","type":"letter","venue":"Cardiovascular Research","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University; Montreal Heart Institute","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Atrial fibrillation; Ablation; Cardiology; Internal medicine; Medicine; Catheter ablation; Substrate (aquarium); Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001847846,0.0004273735,0.0008154304,0.0003833347,0.0004357863,0.002196334,0.001600311,0.006664586,0.005425667],"category_scores_gemma":[0.03593609,0.0003623946,0.0008420781,0.0002428676,0.001190221,0.002940975,0.000832781,0.008695755,0.002005802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021777,"about_ca_system_score_gemma":0.001373433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003795642,"about_ca_topic_score_gemma":0.005073202,"domain_scores_codex":[0.9993735,0.0003593322,0.00005697201,0.00006423043,0.0000999135,0.00004609908],"domain_scores_gemma":[0.9771427,0.02016962,0.0006077669,0.0005909385,0.000941603,0.000547285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008077817,0.000456344,0.02354281,0.0007114885,0.0006437852,0.004350806,0.0008134948,0.05224528,0.0005903633,0.1942039,0.6026682,0.1189658],"study_design_scores_gemma":[0.0006139398,0.0001530669,0.002537007,0.0006817339,0.0002017437,0.001982703,0.0007349436,0.1513844,0.0003002422,0.7181838,0.1230833,0.0001432141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00763831,0.003821227,0.008956468,0.966867,0.007211403,0.00001482877,0.0002634276,0.00006781292,0.005159538],"genre_scores_gemma":[0.5141453,0.02474625,0.02002919,0.3480404,0.08307324,0.0003228171,0.0006187283,0.0002102089,0.008813898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006664586,"threshold_uncertainty_score":0.01815063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1521635974241073,"score_gpt":0.3584247234800251,"score_spread":0.2062611260559177,"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."}}