{"id":"W3009634742","doi":"10.3390/s20051461","title":"A Survey of Heart Anomaly Detection Using Ambulatory Electrocardiogram (ECG)","year":2020,"lang":"en","type":"review","venue":"Sensors","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ambulatory ECG; Ambulatory; Metric (unit); Medicine; Anomaly detection; Medical emergency; Computer science; Artificial intelligence; Engineering; Internal medicine; Operations management","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003921398,0.0002982498,0.002366972,0.0003384514,0.00004864667,0.00001157496,0.00006511345,0.0002778401,0.000006447429],"category_scores_gemma":[0.0002595597,0.0002574083,0.001032167,0.001214845,0.00004373125,0.00001509136,0.00002447748,0.0004626733,0.0000279733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00013776,"about_ca_system_score_gemma":0.0002608253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051345,"about_ca_topic_score_gemma":0.00002587377,"domain_scores_codex":[0.9981494,0.0003876839,0.000552936,0.0003809112,0.0002867248,0.000242323],"domain_scores_gemma":[0.9989278,0.0001293707,0.0002818939,0.0003693875,0.0001437682,0.0001477492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000244245,0.00004320573,0.004452504,0.008318195,0.001608206,0.00005160899,0.00001886516,0.00001799032,0.0001112476,1.142863e-7,0.00003094238,0.9853227],"study_design_scores_gemma":[0.0003284441,0.000445684,0.00452621,0.009875079,0.01047422,0.000329855,0.00002385272,0.002941872,0.0002824123,7.024108e-7,0.9701917,0.0005799957],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01304002,0.9863103,0.0000455718,0.000005379708,0.0001893083,0.0002613462,0.00001640754,0.00007275405,0.00005889046],"genre_scores_gemma":[0.0230503,0.9758822,0.0003814896,0.000009400879,0.0004368015,0.000004804745,0.00004955953,0.0000744853,0.0001109709],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9847427,"threshold_uncertainty_score":0.9999878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0873217101206354,"score_gpt":0.3673160432000446,"score_spread":0.2799943330794092,"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."}}