{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003073555,0.0001200335,0.0002758925,0.0004087584,0.0007757978,0.00008232813,0.00006359274,0.00004579673,0.0001113942],"category_scores_gemma":[0.0001161163,0.00009526884,0.00007745613,0.0009608473,0.0001123161,0.0005483757,0.0001949011,0.0004704282,0.00001420243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002152124,"about_ca_system_score_gemma":0.00009182496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005987124,"about_ca_topic_score_gemma":0.00002452965,"domain_scores_codex":[0.9968781,0.001039031,0.0003913656,0.0003395869,0.001097104,0.000254841],"domain_scores_gemma":[0.99887,0.0003084156,0.0001290723,0.0002226233,0.0003437976,0.0001260948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003553635,0.00007265791,0.8077421,0.00002434762,0.0002135972,0.00001213908,0.005020924,0.0001054867,0.00003546917,0.00008734813,0.00009046964,0.1830419],"study_design_scores_gemma":[0.006062728,0.01778756,0.9446372,0.000008299437,0.00007241309,0.00002218587,0.01226448,0.0150763,0.0001047097,0.0003776288,0.003437921,0.0001485417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943312,0.00002259568,0.001415274,0.000275555,0.0001549633,0.003208893,0.00001079406,0.00007447231,0.0005062184],"genre_scores_gemma":[0.9981536,0.00001545413,0.0003143662,0.000009756104,0.0009908421,0.00004436935,0.0000743507,0.00001800155,0.0003792168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1828933,"threshold_uncertainty_score":0.5966888,"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."}}