{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00919124,0.001305464,0.0005367469,0.0005195182,0.0003768314,0.0005368464,0.0008671477,0.000911669,0.0008628758],"category_scores_gemma":[0.01215514,0.0003670027,0.001025424,0.0004051022,0.000818192,0.0004692055,0.0007415808,0.000514564,0.0005589605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002782845,"about_ca_system_score_gemma":0.0006850737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002013352,"about_ca_topic_score_gemma":0.002300109,"domain_scores_codex":[0.9952196,0.002354155,0.0004341163,0.0006080943,0.00119137,0.0001925667],"domain_scores_gemma":[0.9903121,0.003392783,0.001491632,0.001446799,0.003018081,0.0003385852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00823831,0.01798775,0.8073069,0.001386263,0.002458535,0.00043561,0.003220463,0.004269966,0.04564109,0.0005732165,0.001968923,0.1065131],"study_design_scores_gemma":[0.001631867,0.04968078,0.9172388,0.0002937547,0.00142946,0.001323107,0.0009894588,0.01183495,0.0109517,0.0002164993,0.004330229,0.0000794919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857879,0.0002275169,0.01169311,0.00003444899,0.00004234857,0.001071046,0.000406208,0.00005115989,0.0006863342],"genre_scores_gemma":[0.978966,0.0002657349,0.01652182,0.0001421643,0.000041753,0.001351044,0.00187308,0.00002687708,0.0008114898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00919124,"threshold_uncertainty_score":0.04860854,"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."}}