{"id":"W4383747635","doi":"10.1016/j.jacc.2023.04.054","title":"Consumer Wearable Health and Fitness Technology in Cardiovascular Medicine","year":2023,"lang":"en","type":"review","venue":"Journal of the American College of Cardiology","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Wearable computer; Wearable technology; Health technology; Interpretation (philosophy); Population health; Medical prescription; Population; Health care; Nursing; Computer science; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004884264,0.0003327436,0.007940647,0.001201662,0.0003425768,7.820516e-7,0.0007377135,0.0004141867,0.000007255358],"category_scores_gemma":[0.001458035,0.0002029155,0.0007046406,0.002669646,0.00127589,0.00002622372,0.0002946923,0.002308596,0.00001429043],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004668466,"about_ca_system_score_gemma":0.006548166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002456326,"about_ca_topic_score_gemma":0.00005413105,"domain_scores_codex":[0.9916094,0.003711443,0.003190743,0.0003493736,0.0003643199,0.000774722],"domain_scores_gemma":[0.9912864,0.002054795,0.004983409,0.0009515365,0.000364445,0.0003594155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001242072,0.00002896147,0.004978989,0.04578224,0.001752042,0.000119554,0.0001193357,0.00003367638,4.313079e-7,0.003339637,0.06272369,0.8809972],"study_design_scores_gemma":[0.0007168008,0.0003635455,0.0003277162,0.0153624,0.0004298696,0.0005965255,0.001182008,9.693775e-7,2.137998e-8,0.0007426,0.9801614,0.0001161094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001216451,0.9881924,0.00005248068,0.006990782,0.00108492,0.003129998,0.0001508439,0.00001989446,0.0002570386],"genre_scores_gemma":[0.0001941507,0.9973322,0.0001452813,0.0005390835,0.0005639858,0.0009133498,0.000003673573,0.00005920037,0.0002490419],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9174377,"threshold_uncertainty_score":0.9999931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0747113702824649,"score_gpt":0.4431177677523171,"score_spread":0.3684063974698523,"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."}}