{"id":"W2912252017","doi":"10.22489/cinc.2018.162","title":"The Reproducibility of Global Electrical Heterogeneity ECG Measurements","year":2018,"lang":"en","type":"article","venue":"Computing in cardiology","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute","keywords":"Reproducibility; Medicine; QRS complex; Internal medicine; Cardiology; Sinus rhythm; Magnitude (astronomy); Electrocardiography; Cardiac resynchronization therapy; Concordance; Nuclear medicine; Mathematics; Statistics; Physics; Ejection fraction; Heart failure; Atrial fibrillation","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":[0.01742373,0.0004076924,0.0005616075,0.0008546774,0.0002221345,0.001118161,0.0006488916,0.0005602086,0.0007721246],"category_scores_gemma":[0.04697869,0.0001913326,0.0004290471,0.0005120199,0.0009610485,0.0005929287,0.0007293799,0.0004389964,0.0003595285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003101495,"about_ca_system_score_gemma":0.0003002348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007769502,"about_ca_topic_score_gemma":0.0006583623,"domain_scores_codex":[0.9865077,0.006302771,0.001499703,0.002323997,0.003004036,0.0003618999],"domain_scores_gemma":[0.9355042,0.03942806,0.00850807,0.009829083,0.00623186,0.0004987682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002527922,0.0001066952,0.8531648,0.0004135855,0.001326499,0.0002416411,0.0006441151,0.003521181,0.02209404,0.0005380524,0.001298393,0.1141232],"study_design_scores_gemma":[0.00006295527,0.0008635743,0.9673387,0.0001076783,0.0005031399,0.001835484,0.0001667332,0.007845122,0.01803461,0.001268247,0.001924504,0.00004931352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9306204,0.005864531,0.05679772,0.0004650748,0.0002321392,0.00009153033,0.001012227,0.0004059494,0.004510266],"genre_scores_gemma":[0.996796,0.0001001176,0.002555002,0.00007034334,0.00006982734,0.00002193369,0.0001928653,0.00003640389,0.0001575444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01742373,"threshold_uncertainty_score":0.09214664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03800436331112582,"score_gpt":0.3292034614083489,"score_spread":0.2911990980972231,"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."}}