{"id":"W2413778127","doi":"10.1113/jp271660","title":"Lessons from computer simulations of ablation of atrial fibrillation","year":2016,"lang":"en","type":"review","venue":"The Journal of Physiology","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Ablation; Atrial fibrillation; Pulmonary vein; Catheter ablation; Computer science; Cardiology; Ablation of atrial fibrillation; Cardiac Ablation; Isolation (microbiology); Internal medicine; Medicine; Biomedical engineering; Bioinformatics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008990042,0.0007695884,0.001106593,0.0006685643,0.0002286699,0.001113837,0.001249055,0.001630456,0.001546325],"category_scores_gemma":[0.003935228,0.0004028516,0.00068727,0.0007013381,0.00123967,0.001591826,0.0008482186,0.002162928,0.0008073232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006725579,"about_ca_system_score_gemma":0.0009639702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002314525,"about_ca_topic_score_gemma":0.00133175,"domain_scores_codex":[0.9996459,0.0001562095,0.00003331417,0.00003361672,0.0001154229,0.00001543799],"domain_scores_gemma":[0.9982311,0.001463586,0.0000553001,0.00006217385,0.0001472411,0.00004067526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007310104,0.00008261816,0.001193856,0.005803891,0.0002767284,0.0004143147,0.0005629759,0.3571622,0.001413414,0.2907575,0.02482073,0.3174386],"study_design_scores_gemma":[0.00006148487,0.0001043376,0.0006838862,0.003395605,0.00009632012,0.0007764997,0.0002406525,0.09183934,0.001099486,0.4316638,0.4699451,0.00009353871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007727544,0.8389835,0.1064851,0.01605029,0.001351303,0.00005513743,0.0002417746,0.0002759784,0.02882948],"genre_scores_gemma":[0.08212198,0.8792474,0.03060046,0.001954061,0.001444775,0.0001805479,0.0002596462,0.0001223272,0.004068707],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002314525,"threshold_uncertainty_score":0.005172968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1264495169715261,"score_gpt":0.4144942935397534,"score_spread":0.2880447765682272,"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."}}