{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00736606,0.0003963707,0.001350742,0.0006450901,0.0002735243,0.000392694,0.0005387967,0.0009431611,0.00005739526],"category_scores_gemma":[0.002721986,0.000275697,0.001546307,0.0005603427,0.0004612593,0.0005658157,0.001163176,0.001416552,0.00003221102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003588756,"about_ca_system_score_gemma":0.0003267488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005611178,"about_ca_topic_score_gemma":0.00000412666,"domain_scores_codex":[0.9926479,0.001206466,0.000715464,0.001593622,0.003040351,0.0007961405],"domain_scores_gemma":[0.9959134,0.0008448578,0.0001139854,0.002522149,0.0004331293,0.0001724358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007858473,0.000009527782,0.2433312,0.001509786,0.005820523,0.0007990594,0.000224268,0.00001040958,0.0005132481,0.00004557675,0.7001436,0.04680703],"study_design_scores_gemma":[0.003062039,0.0001786785,0.01313034,0.0004266966,0.0004610761,0.00002339383,0.0001764457,0.0001723053,0.0001303181,0.00003411977,0.9818597,0.0003448189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.1182198,0.03198344,0.00007857219,0.8418865,0.001551467,0.005339704,0.0003723086,0.0001518878,0.0004163031],"genre_scores_gemma":[0.2805749,0.05026279,0.009522429,0.04385811,0.4935018,0.0001591931,0.01900012,0.001407006,0.1017137],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7980283,"threshold_uncertainty_score":0.9999695,"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."}}