{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002536056,0.0002335947,0.0006924933,0.0003251474,0.0001800973,0.00008222205,0.0002235902,0.0003547859,0.00003555081],"category_scores_gemma":[0.0004317297,0.0001646864,0.001135677,0.000444148,0.000113309,0.0001075329,0.0002498358,0.0007131623,0.00002929222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001510174,"about_ca_system_score_gemma":0.0003611796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002448851,"about_ca_topic_score_gemma":0.00001029862,"domain_scores_codex":[0.9952174,0.000943295,0.0004521044,0.0005249172,0.002504692,0.0003575269],"domain_scores_gemma":[0.9975811,0.0006392956,0.0001306542,0.0007368805,0.000847034,0.00006507141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001229109,0.00001476026,0.03448631,0.004025403,0.01102943,0.00008446593,0.003988011,0.6082481,0.0001327071,0.001903599,0.2582548,0.07660333],"study_design_scores_gemma":[0.005309949,0.0008110387,0.04700159,0.001987591,0.00251674,0.0001237246,0.0009939807,0.02135032,0.000423804,0.01367302,0.9045399,0.001268306],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3309899,0.007245761,0.001028192,0.641894,0.001717871,0.01277894,0.0003395083,0.00009121392,0.003914571],"genre_scores_gemma":[0.9736032,0.0007272156,0.0005627316,0.006307728,0.01321113,0.00001839631,0.001430134,0.0001061465,0.00403332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6462851,"threshold_uncertainty_score":0.6715715,"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."}}