{"id":"W4380577581","doi":"10.1093/europace/euad145","title":"Leucocyte-derived micro-RNAs as candidate biomarkers in Brugada syndrome","year":2023,"lang":"en","type":"article","venue":"EP Europace","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital; Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Fonds de Recherche du Québec - Santé; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval","keywords":"Brugada syndrome; Medicine; microRNA; Internal medicine; Biomarker; Sudden cardiac death; Cardiology; Oncology; Gene; Genetics; 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":[0.0005354967,0.000553422,0.000406508,0.000647285,0.0001499845,0.0005746156,0.0001963191,0.0003223197,0.0007975263],"category_scores_gemma":[0.001511695,0.00011682,0.0002613742,0.0003421827,0.0001675257,0.0002151081,0.0002375193,0.0002870576,0.0001813078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000128696,"about_ca_system_score_gemma":0.0001114406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001946737,"about_ca_topic_score_gemma":0.0003009521,"domain_scores_codex":[0.9997371,0.00008943918,0.00003179899,0.00007447034,0.000050569,0.00001658716],"domain_scores_gemma":[0.9992356,0.0003351544,0.0002813077,0.00002584438,0.00006374434,0.00005835207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001383551,0.00006657311,0.950673,0.0001141014,0.000203786,0.0004573477,0.00008320798,0.0006276587,0.02037617,0.00009583904,0.000181237,0.02573754],"study_design_scores_gemma":[0.00004628863,0.0009398202,0.9805306,0.00006509863,0.000240027,0.002004887,0.000109656,0.006371219,0.008307682,0.0003753033,0.0009913415,0.00001816614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935498,0.004132055,0.001615349,0.00006815015,0.00001777281,0.00001350275,0.0001980813,0.00002922248,0.0003761497],"genre_scores_gemma":[0.9974673,0.0005857493,0.0014923,0.0000296472,0.00002151725,0.00001996386,0.000202822,0.000004607673,0.0001761421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007975263,"threshold_uncertainty_score":0.002832055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008578324027867013,"score_gpt":0.2575305112369995,"score_spread":0.2489521872091325,"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."}}