{"id":"W2806588844","doi":"10.2196/mhealth.9604","title":"Nontraditional Electrocardiogram and Algorithms for Inconspicuous In-Home Monitoring: Comparative Study","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Google","keywords":"Artificial intelligence; QRS complex; Computer science; Wearable technology; Wearable computer; Heart rate variability; Algorithm; Medicine; Machine learning; Heart rate; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003313744,0.00021614,0.000401038,0.0002054304,0.0002318319,0.00004278091,0.00007547785,0.0000777228,0.000001499426],"category_scores_gemma":[0.000009325069,0.0002220311,0.00002775757,0.0002643821,0.0000851628,0.0001492923,0.00002169074,0.0002441349,0.000003625109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001861469,"about_ca_system_score_gemma":0.0000814775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007607225,"about_ca_topic_score_gemma":0.00006526544,"domain_scores_codex":[0.998518,0.00005418955,0.0003419858,0.0003250786,0.0001666159,0.0005940743],"domain_scores_gemma":[0.9992319,0.0001818181,0.00005073721,0.0001320753,0.0000684549,0.0003349899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005167894,0.0007558942,0.9226684,0.002121308,0.0002090947,0.00003334474,0.01494321,0.00009744143,0.002326504,0.0007474372,0.001447578,0.05413302],"study_design_scores_gemma":[0.00319665,0.00323925,0.9867913,0.00008958131,0.00003792053,0.00003126181,0.001888293,0.001282025,0.0008457629,0.00152967,0.0006219964,0.0004463575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952208,0.001138752,0.001127525,0.0000621866,0.0007591607,0.001322704,0.00002823785,0.0001406083,0.000200066],"genre_scores_gemma":[0.9959019,0.0002296875,0.002022248,0.00003257875,0.001356578,0.0004137538,0.000007658526,0.0000303942,0.000005221863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06412285,"threshold_uncertainty_score":0.9054166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06820296400221454,"score_gpt":0.3671441407006758,"score_spread":0.2989411766984613,"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."}}