{"id":"W1488490430","doi":"10.1109/iembs.1995.575088","title":"Diagnostic classification of patients with ventricular tachycardia, based on spatial and temporal features derived from body-surface potential maps","year":2002,"lang":"en","type":"article","venue":"","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Dalhousie University","funders":"Heart and Stroke Foundation of Canada","keywords":"QRS complex; Ventricular tachycardia; Cardiology; Electrocardiography; Internal medicine; Linear discriminant analysis; Medicine; Sinus rhythm; Myocardial infarction; QT interval; Tachycardia; Sinus tachycardia; PR interval; Heart rate; Pattern recognition (psychology); Mathematics; Artificial intelligence; Statistics; Computer science; Atrial fibrillation","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":[0.001015879,0.0004144386,0.0003364875,0.000919746,0.0001464473,0.0003672885,0.0002577266,0.0004867342,0.0005918982],"category_scores_gemma":[0.01037412,0.0001372393,0.0002153492,0.0002398231,0.0002648013,0.0003914999,0.0003598387,0.0002754022,0.0003226702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009427257,"about_ca_system_score_gemma":0.0001481402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002528317,"about_ca_topic_score_gemma":0.0004463632,"domain_scores_codex":[0.9994724,0.0002118754,0.00007742023,0.00008208437,0.00009721348,0.00005894789],"domain_scores_gemma":[0.9963736,0.002107417,0.0004776063,0.0001618496,0.0005267936,0.0003527059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007094826,0.00006026273,0.9828662,0.00001208746,0.00003214705,0.0001765284,0.00006790386,0.0003876632,0.001789093,0.00002993093,0.0001254913,0.01374312],"study_design_scores_gemma":[0.0001769968,0.001367035,0.966155,0.00002157029,0.00008187506,0.003128934,0.0003573204,0.02560864,0.002471282,0.0003321577,0.0002757445,0.00002358722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987525,0.00005614688,0.0008707854,0.00003482417,0.000006424315,0.00001211194,0.00005622382,0.00001274217,0.0001982829],"genre_scores_gemma":[0.9987562,0.00002155257,0.001032442,0.00001149171,0.000009078504,0.00001004841,0.0001144261,0.000001854502,0.000042918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001015879,"threshold_uncertainty_score":0.005372524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007131424601807564,"score_gpt":0.2055161254872709,"score_spread":0.1983847008854633,"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."}}