{"id":"W4384819344","doi":"10.1093/europace/euad219","title":"Optimizing electrophysiology studies to prevent sudden cardiac death after myocardial infarction","year":2023,"lang":"en","type":"article","venue":"EP Europace","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council; Biotronik; Foundation for the Future; National Heart Foundation of Australia; Western University; Australian Government; Western Sydney Local Health District","keywords":"Cardiac electrophysiology; Cardiology; Electrophysiology; Myocardial infarction; Medicine; Internal medicine; Sudden cardiac death","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001252312,0.0002750086,0.0003003405,0.0004093774,0.0001888428,0.0005264119,0.0001909242,0.0003261325,0.0009334721],"category_scores_gemma":[0.003868744,0.00006072322,0.0002544308,0.0003059924,0.0001051376,0.0002623121,0.0002941296,0.0003288857,0.0001779081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001366607,"about_ca_system_score_gemma":0.0003602662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002497432,"about_ca_topic_score_gemma":0.0005428872,"domain_scores_codex":[0.9994708,0.0002416451,0.00009545613,0.00005894071,0.00007229726,0.0000609565],"domain_scores_gemma":[0.9982781,0.0003728775,0.0008251619,0.00006478596,0.0001954928,0.0002635641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009236006,0.0005090054,0.931936,0.0002894864,0.0002164418,0.0002310361,0.00007265998,0.0001527771,0.0009626779,0.0001263362,0.0007977586,0.06378214],"study_design_scores_gemma":[0.00008690711,0.001463021,0.9949859,0.0001990523,0.0002431158,0.0003938517,0.00009671325,0.0003301695,0.0004006456,0.0001907186,0.001604188,0.000005722859],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713861,0.02215501,0.00118191,0.001229784,0.0001333549,0.00009713869,0.0002826308,0.00003574292,0.003498309],"genre_scores_gemma":[0.9950495,0.003534963,0.0005695473,0.0002232665,0.0001875036,0.00003146238,0.0001861076,0.000002460519,0.0002152086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001252312,"threshold_uncertainty_score":0.00662291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797747443983426,"score_gpt":0.3007175014509063,"score_spread":0.282740027011072,"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."}}