{"id":"W3004958388","doi":"10.2196/14707","title":"Accuracy of Optical Heart Rate Sensing Technology in Wearable Fitness Trackers for Young and Older Adults: Validation and Comparison Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan","keywords":"Intraclass correlation; Activity tracker; Photoplethysmogram; Heart rate; Pearson product-moment correlation coefficient; Heart rate monitor; Wearable computer; Concordance correlation coefficient; Correlation coefficient; Medicine; Statistics; Physical therapy; Simulation; Computer science; Physical activity; Mathematics; Blood pressure; Telecommunications; Internal medicine; Reproducibility; Wireless","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":[0.0003012206,0.0001425305,0.0003843524,0.0001362263,0.0000847636,0.00002393049,0.00003727624,0.00009889258,5.814671e-7],"category_scores_gemma":[0.0001032425,0.0001496805,0.00001185101,0.0002674987,0.00005036272,0.0001448251,0.00002873721,0.0002304952,3.955035e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004578139,"about_ca_system_score_gemma":0.00004304848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001001621,"about_ca_topic_score_gemma":0.00004893817,"domain_scores_codex":[0.9988602,0.00004694725,0.000408762,0.0002670586,0.00008467429,0.0003322968],"domain_scores_gemma":[0.999387,0.0002058176,0.00007282039,0.00008932097,0.00004100851,0.0002040677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008387694,0.0003183823,0.8489312,0.01455121,0.00004505274,0.00001084568,0.02166038,0.0008044107,0.02155512,0.0002187782,0.0001833493,0.09088248],"study_design_scores_gemma":[0.01439852,0.00342326,0.8359694,0.00163835,0.0001251124,0.00005268484,0.03957885,0.07052386,0.03271357,0.0004642615,0.0001529359,0.000959203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947833,0.001485279,0.001253389,0.001069633,0.00009719114,0.001216982,0.000007215814,0.00007872409,0.000008332673],"genre_scores_gemma":[0.997665,0.0002521534,0.001911912,0.00004501558,0.00006180158,0.0000358401,0.000004017421,0.00002368942,5.912497e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08992328,"threshold_uncertainty_score":0.6103792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03819958658620474,"score_gpt":0.341927663093092,"score_spread":0.3037280765068873,"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."}}