{"id":"W3110908172","doi":"10.1016/j.wem.2020.07.009","title":"Two Recently Described Methods of Recording Multi-Lead ECGs with an Apple Watch","year":2020,"lang":"en","type":"letter","venue":"Wilderness and Environmental Medicine","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; University of Alberta","funders":"University of Alberta","keywords":"Atrial fibrillation; Smartwatch; Sinus rhythm; Medicine; Artifact (error); Normal Sinus Rhythm; Computer science; Cardiology; Internal medicine; Wearable computer; Artificial intelligence; Embedded system","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":[0.003103728,0.001810743,0.001017108,0.004556237,0.0005592105,0.002373417,0.002509099,0.003159842,0.01791591],"category_scores_gemma":[0.01094562,0.001079818,0.001703985,0.002471973,0.0007432799,0.002562904,0.00190284,0.002276547,0.01217513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003220955,"about_ca_system_score_gemma":0.0004546719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006543953,"about_ca_topic_score_gemma":0.001950916,"domain_scores_codex":[0.9962353,0.0007062105,0.000522475,0.0008694892,0.001504587,0.0001619818],"domain_scores_gemma":[0.9935769,0.002740406,0.0006001065,0.001049332,0.00172345,0.0003096862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.001110625,0.000218341,0.006320614,0.003299529,0.0003424649,0.004702619,0.0009640245,0.0002982064,0.07386789,0.004138564,0.07680279,0.8279343],"study_design_scores_gemma":[0.0003775009,0.001528387,0.02739359,0.00242143,0.0008623817,0.08510311,0.0005371026,0.005429417,0.1126068,0.003874581,0.7588512,0.001014583],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02649947,0.08025049,0.7995059,0.009434911,0.02264047,0.002091444,0.004652368,0.01354791,0.04137699],"genre_scores_gemma":[0.04990033,0.02946252,0.8478285,0.007664599,0.004981142,0.002579456,0.002952318,0.002276476,0.05235458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01791591,"threshold_uncertainty_score":0.05993468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04429085942138974,"score_gpt":0.3180781358320982,"score_spread":0.2737872764107084,"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."}}