{"id":"W3207230336","doi":"10.2196/29933","title":"Automatic Mobile Health Arrhythmia Monitoring for the Detection of Atrial Fibrillation: Prospective Feasibility, Accuracy, and User Experience Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atrial fibrillation; Cardiac arrhythmia; Medicine; Electrocardiography; Asymptomatic; mHealth; Gold standard (test); Cardiology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003706804,0.0005821596,0.0005414921,0.0004820139,0.000241387,0.0005439848,0.0003229038,0.0005063284,0.001140786],"category_scores_gemma":[0.007260564,0.0002411737,0.0005664776,0.0002534815,0.0004293425,0.0005681341,0.0005516467,0.0003645758,0.0005908937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001921201,"about_ca_system_score_gemma":0.0002032424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004918409,"about_ca_topic_score_gemma":0.0005991157,"domain_scores_codex":[0.9980825,0.0009779487,0.0001469073,0.0002808748,0.0003825395,0.0001292354],"domain_scores_gemma":[0.9940395,0.002583524,0.0007744573,0.0004702857,0.001482939,0.0006492434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01178187,0.01246969,0.9072575,0.0003560555,0.0004548325,0.0005223495,0.003053506,0.0006212792,0.01693959,0.00007122693,0.0004460563,0.04602619],"study_design_scores_gemma":[0.0007862259,0.104959,0.8751354,0.00005387399,0.0006744651,0.001924009,0.001231092,0.007745443,0.006414792,0.00005379738,0.0009396019,0.00008228367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985732,0.00007340874,0.0009318737,0.000008948448,0.000005798081,0.0001738127,0.00006787049,0.00001279362,0.0001524118],"genre_scores_gemma":[0.997443,0.00008691632,0.001871166,0.00003657369,0.00001729691,0.0002038905,0.0001630811,0.000006076959,0.000172157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003706804,"threshold_uncertainty_score":0.01960367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1215372364590451,"score_gpt":0.4565201672901588,"score_spread":0.3349829308311137,"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."}}