{"id":"W2342997723","doi":"10.1093/cvr/cvw092","title":"How does fibrosis promote atrial fibrillation persistence:<i>in silico</i>findings, clinical observations, and experimental data","year":2016,"lang":"en","type":"letter","venue":"Cardiovascular Research","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; Université de Montréal; McGill University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Atrial fibrillation; Persistence (discontinuity); Cardiology; In silico; Fibrosis; Medicine; Internal medicine; 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":[0.008994533,0.0009389319,0.002476238,0.0007650065,0.001776299,0.004419738,0.002128772,0.02614682,0.004280364],"category_scores_gemma":[0.0454534,0.0005663395,0.001575223,0.0005552756,0.003787146,0.003646278,0.001503479,0.03175196,0.005252706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146518,"about_ca_system_score_gemma":0.001913977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001778659,"about_ca_topic_score_gemma":0.002510182,"domain_scores_codex":[0.9958747,0.001235147,0.0006903976,0.0006479791,0.001270149,0.000281629],"domain_scores_gemma":[0.9571821,0.03336317,0.00203702,0.001261378,0.004470236,0.001686098],"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":[0.0001468373,0.0000254859,0.0006098846,0.000207059,0.00005349393,0.0008695133,0.0001014198,0.00008070805,0.0002646676,0.00233286,0.982094,0.01321416],"study_design_scores_gemma":[0.0004266136,0.0002618333,0.002486254,0.001062485,0.0001860925,0.003281164,0.000600185,0.001265907,0.001006216,0.04499808,0.9442484,0.00017674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0004340663,0.007787511,0.000335999,0.9053285,0.08465294,0.000008159883,0.0001547149,0.00005436745,0.001243757],"genre_scores_gemma":[0.008193562,0.01307108,0.0004751468,0.6357003,0.3387654,0.00003769101,0.000101264,0.00005538144,0.003600192],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02614682,"threshold_uncertainty_score":0.0475682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.388885096607069,"score_gpt":0.436375610624464,"score_spread":0.04749051401739501,"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."}}