{"id":"W4225081789","doi":"10.2196/37280","title":"Atrial Fibrillation Detection With an Analog Smartwatch: Prospective Clinical Study and Algorithm Validation","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atrial fibrillation; Medicine; Cardiology; Internal medicine; Sinus rhythm; Asymptomatic; Algorithm; Electrocardiography; Stroke (engine); Population; Computer science","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":[0.006492316,0.0009006607,0.0007962518,0.001090701,0.0005411967,0.0009093262,0.0007152106,0.001053546,0.001733011],"category_scores_gemma":[0.01436468,0.0005701518,0.0006357718,0.0008229489,0.0007995485,0.001201946,0.0007291103,0.0005464788,0.0007937131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004399054,"about_ca_system_score_gemma":0.0004923783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006542466,"about_ca_topic_score_gemma":0.000592158,"domain_scores_codex":[0.9968316,0.00142413,0.0003064287,0.0008027495,0.0004866471,0.0001483857],"domain_scores_gemma":[0.9896583,0.004926426,0.001944971,0.001078025,0.00178774,0.0006046267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006203481,0.001067306,0.9837488,0.00006484415,0.000191896,0.00012137,0.000220159,0.0003612638,0.0006683496,0.00004188342,0.0001635489,0.007147064],"study_design_scores_gemma":[0.001750976,0.01597351,0.9736578,0.00003911061,0.0002899321,0.001256701,0.0002248112,0.00532977,0.0006806612,0.0001169926,0.0006341003,0.00004564869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976896,0.0002237137,0.001125387,0.0000176636,0.00001152702,0.0004430276,0.0001943486,0.00001603992,0.0002787853],"genre_scores_gemma":[0.99657,0.0001103851,0.001800954,0.00003954279,0.00002876703,0.0004738525,0.0007817755,0.000009574449,0.0001852212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006492316,"threshold_uncertainty_score":0.03433508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.155203325850602,"score_gpt":0.4826852712119269,"score_spread":0.3274819453613249,"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."}}