{"id":"W4289781078","doi":"10.2196/33754","title":"Alignment Between Heart Rate Variability From Fitness Trackers and Perceived Stress: Perspectives From a Large-Scale In Situ Longitudinal Study of Information Workers","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Nursing Research; NIH Office of the Director; Office of the Director of National Intelligence; Intelligence Advanced Research Projects Activity; National Science Foundation","keywords":"Heart rate variability; Affect (linguistics); Repeated measures design; Anxiety; Perceived Stress Scale; Stress (linguistics); Psychology; Stress measures; Heart rate; Medicine; Clinical psychology; Statistics; Mathematics; 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":[0.0007280132,0.0002064872,0.0006158748,0.0001756913,0.0002111676,0.00003756111,0.0001087372,0.0000775474,0.0007251899],"category_scores_gemma":[0.00006571556,0.0001966357,0.00008952925,0.0001910328,0.00008516427,0.0002909689,0.0001380388,0.0004064536,0.000002373896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004556685,"about_ca_system_score_gemma":0.0001030318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004853982,"about_ca_topic_score_gemma":0.0008540715,"domain_scores_codex":[0.9978936,0.0005009295,0.0006084872,0.0004120612,0.0003282765,0.0002566675],"domain_scores_gemma":[0.9989235,0.0003715576,0.0001458085,0.0003740042,0.00005273847,0.0001324274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001112765,0.001148529,0.8784265,0.00002229712,0.0001196109,0.000001743629,0.1156067,0.00007099195,0.004372786,0.000006691979,0.00001604396,0.00009680533],"study_design_scores_gemma":[0.003270253,0.000437114,0.8520193,0.00003007762,0.000082928,1.47142e-7,0.1434714,0.00009917085,0.0001563061,0.0001158768,0.0001763826,0.0001410581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974951,0.00001689076,0.00003004215,0.0001985295,0.00006003058,0.001515042,0.000593177,0.00003807268,0.00005313769],"genre_scores_gemma":[0.9993998,7.977926e-7,0.00004306732,0.00002484539,0.00004933034,0.0001270291,0.0003295092,0.00001096039,0.00001463057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02786465,"threshold_uncertainty_score":0.8018573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02392508751695023,"score_gpt":0.2919630897096718,"score_spread":0.2680380021927216,"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."}}