{"id":"W2077079425","doi":"10.1136/heartjnl-2013-304019.42","title":"042 EPICARDIAL POTENTIALS DERIVED FROM THE BODY SURFACE POTENTIAL MAP USING INVERSE ELECTROCARDIOGRAPHY IMPROVE DIAGNOSIS OF ACUTE MYOCARDIAL INFARCTION: A PROSPECTIVE STUDY","year":2013,"lang":"en","type":"article","venue":"Heart","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Cardiology; Electrocardiography; Internal medicine; Myocardial infarction; Right bundle branch block; Left bundle branch block; Chest pain; Bundle branch block; Heart failure","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":[0.002719848,0.00077827,0.0004423091,0.0006883784,0.0004161379,0.00128087,0.0006158392,0.001097393,0.002905965],"category_scores_gemma":[0.007210359,0.000666899,0.0008982941,0.0006629413,0.0004136381,0.00111849,0.0007308634,0.001176749,0.0007963762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001428824,"about_ca_system_score_gemma":0.0002822999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005081512,"about_ca_topic_score_gemma":0.0007365794,"domain_scores_codex":[0.9987451,0.0005066838,0.0001487975,0.0002582111,0.0002138734,0.0001273617],"domain_scores_gemma":[0.9958802,0.00162706,0.001092548,0.0003835995,0.0006061112,0.0004104819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002200208,0.0003987977,0.9942968,0.00003412485,0.0002971152,0.0001420864,0.00007172982,0.00004787542,0.0002661195,0.00002574192,0.00008143867,0.002138045],"study_design_scores_gemma":[0.0002888996,0.003793631,0.9933369,0.00002651181,0.0003452645,0.0006993751,0.0002103853,0.0006678045,0.0001374383,0.00006450611,0.0004124706,0.00001679552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984005,0.0005201165,0.0002740026,0.00003476725,0.00002350653,0.00005266521,0.0001219016,0.000003533589,0.0005689703],"genre_scores_gemma":[0.9989659,0.0001807622,0.0002725994,0.00005267528,0.0000753088,0.00003718954,0.0002605452,0.000003802623,0.0001513758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002905965,"threshold_uncertainty_score":0.01438409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007409804327212166,"score_gpt":0.2474957688727354,"score_spread":0.2400859645455232,"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."}}