{"id":"W4322615270","doi":"10.1016/j.tcm.2023.02.009","title":"The role of pericardial fluid biomarkers in predicting post-operative atrial fibrillation, a comprehensive review of current literature","year":2023,"lang":"en","type":"review","venue":"Trends in Cardiovascular Medicine","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"","keywords":"Atrial fibrillation; Cardiac surgery; Medicine; Cardiology; Internal medicine; Pathophysiology; Complication; Biomarker; Pericardial fluid; Pericardium; 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":[0.002322155,0.001157319,0.003463847,0.004165932,0.000250573,0.001823621,0.001067896,0.001239972,0.002007991],"category_scores_gemma":[0.00686979,0.000453165,0.002409343,0.003887066,0.0004288962,0.001510218,0.0008642906,0.001394746,0.0004045548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005784817,"about_ca_system_score_gemma":0.002811192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002601798,"about_ca_topic_score_gemma":0.004357669,"domain_scores_codex":[0.9990708,0.0001641177,0.0003401412,0.0001656178,0.0002204525,0.00003883932],"domain_scores_gemma":[0.9952555,0.003525068,0.0006993383,0.00004441076,0.0004043439,0.00007131584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0004196948,0.00009327426,0.00421114,0.1938589,0.00283802,0.0002256799,0.0001184925,0.0003719609,0.0006259442,0.0008460669,0.01229279,0.784098],"study_design_scores_gemma":[0.0004481371,0.00101344,0.0441807,0.3622726,0.03673404,0.005169422,0.0007103798,0.001178616,0.00133473,0.003804009,0.5428499,0.0003041897],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009354351,0.9996477,0.00003028361,0.0001046754,0.00003983056,0.000002787191,0.00002810475,0.000001377394,0.00005173817],"genre_scores_gemma":[0.0007134536,0.9989322,0.0001021523,0.0001179252,0.00008183566,0.000005490365,0.00002694262,4.433964e-7,0.00001962578],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004165932,"threshold_uncertainty_score":0.01228088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08632002233018435,"score_gpt":0.4074419108107037,"score_spread":0.3211218884805194,"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."}}