{"id":"W3045074988","doi":"10.2196/17355","title":"Measuring Heart Rate Variability in Free-Living Conditions Using Consumer-Grade Photoplethysmography: Validation Study","year":2020,"lang":"en","type":"article","venue":"JMIR Biomedical Engineering","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University; University of Toronto; Holland Bloorview Kids Rehabilitation Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photoplethysmogram; Heart rate variability; Medicine; Heart rate; Computer science; Internal medicine; Blood pressure; Computer vision; Filter (signal processing)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008908209,0.0003616804,0.0004433809,0.0003921573,0.00007870983,0.00008062371,0.0003181988,0.000175551,0.00006209251],"category_scores_gemma":[0.0008716545,0.0004326136,0.0001207014,0.001514925,0.00007504191,0.0003829948,0.0001537207,0.0006438272,0.00001471617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002495345,"about_ca_system_score_gemma":0.00003983157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008277973,"about_ca_topic_score_gemma":0.000003767255,"domain_scores_codex":[0.9976977,0.0001573674,0.0006068831,0.0004657005,0.0004568416,0.0006155806],"domain_scores_gemma":[0.998593,0.0005562618,0.00004178287,0.0003479445,0.00004268211,0.0004182837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005475193,0.00023069,0.02879342,0.0004149492,0.0001081015,0.00006669229,0.0009951326,0.05878264,0.9102829,0.00002664766,0.0001176135,0.0001756984],"study_design_scores_gemma":[0.005712045,0.0005109489,0.1702178,0.002207859,0.0002451869,0.0000798961,0.001631214,0.6089809,0.203812,0.0004529832,0.002337563,0.003811653],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634026,0.0001663536,0.03363143,0.0001306752,0.0009019183,0.0008686962,0.00003409076,0.0008368854,0.00002739371],"genre_scores_gemma":[0.9967929,0.000007304941,0.002506686,0.0000306897,0.0003778849,0.0001792277,0.00001392918,0.00009051221,8.792245e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.706471,"threshold_uncertainty_score":0.9998125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270483993088375,"score_gpt":0.2574169600762484,"score_spread":0.2247121201453646,"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."}}