{"id":"W3002162466","doi":"10.2196/16716","title":"Wrist-Worn Wearables for Monitoring Heart Rate and Energy Expenditure While Sitting or Performing Light-to-Vigorous Physical Activity: Validation Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Energy expenditure; Sitting; Wearable computer; Physical activity; Heart rate; Metabolic equivalent; Activity monitor; Physical therapy; Physical medicine and rehabilitation; Medicine; Computer science; Internal medicine; Blood pressure","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003022303,0.0003182422,0.0004865449,0.0001078837,0.0004997296,0.00012989,0.00009800931,0.00009388375,0.000002179498],"category_scores_gemma":[0.00006058137,0.0002960885,0.00004143969,0.0002673598,0.00001413055,0.0003775795,0.00007622621,0.0003032044,0.000003808515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425725,"about_ca_system_score_gemma":0.00008577597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009783922,"about_ca_topic_score_gemma":0.00001276092,"domain_scores_codex":[0.9982021,0.00009274563,0.0002944284,0.0005133176,0.0002183668,0.0006790276],"domain_scores_gemma":[0.9987129,0.0002734149,0.00008574911,0.000170735,0.00004716562,0.000710047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002999352,0.0008816679,0.09788684,0.01375005,0.0002488543,0.00007226341,0.07007385,0.003971221,0.3579784,0.0001424297,0.002200203,0.4497949],"study_design_scores_gemma":[0.0159236,0.02064204,0.2666498,0.002587832,0.0007350409,0.0001323639,0.05421303,0.05323999,0.549645,0.0003809178,0.02980995,0.006040501],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955297,0.0003260018,0.001861308,0.0007123599,0.000443854,0.0007930082,0.0000146005,0.0002790774,0.00004016602],"genre_scores_gemma":[0.9958884,0.0001334676,0.001056148,0.0001293581,0.002354516,0.0003270867,0.000004997155,0.00008369695,0.00002233964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4437544,"threshold_uncertainty_score":0.9999491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05766272648293352,"score_gpt":0.3346453957398176,"score_spread":0.2769826692568841,"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."}}