{"id":"W4389488996","doi":"10.2196/51515","title":"Measuring Heart Rate Accurately in Patients With Parkinson Disease During Intense Exercise: Usability Study of Fitbit Charge 4","year":2023,"lang":"en","type":"article","venue":"JMIR Biomedical Engineering","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Yale University","keywords":"Usability; Heart rate; Parkinson's disease; Medicine; Physical therapy; Physical medicine and rehabilitation; Cardiology; Internal medicine; Psychology; Disease; Computer science; Human–computer interaction; 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":[0.002521316,0.000487989,0.000511573,0.0004106246,0.0002112957,0.0004280984,0.0002900345,0.0004529285,0.001108762],"category_scores_gemma":[0.007439656,0.0001781367,0.0005814864,0.0001696406,0.0002119646,0.0004792243,0.000561475,0.0002524319,0.0002375676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453767,"about_ca_system_score_gemma":0.0001506203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005074075,"about_ca_topic_score_gemma":0.001256365,"domain_scores_codex":[0.9986529,0.0008012173,0.0001565543,0.0001856238,0.0001333562,0.00007029785],"domain_scores_gemma":[0.9962139,0.00217271,0.0004157721,0.0002018612,0.0006607181,0.0003349779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01229742,0.00663179,0.8065187,0.001426059,0.0009324701,0.0008476775,0.009573965,0.000900239,0.02204937,0.0001191127,0.001721818,0.1369812],"study_design_scores_gemma":[0.001082852,0.03621051,0.943136,0.000173349,0.0005702017,0.002040918,0.003663182,0.005522399,0.003795301,0.000113068,0.00355716,0.0001350037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99855,0.00008105202,0.0007107732,0.00003059599,0.0000105496,0.0001531182,0.0001092789,0.00001810586,0.0003364743],"genre_scores_gemma":[0.9960367,0.0001142999,0.003017035,0.00008108794,0.00001475197,0.0002785298,0.0001975708,0.00000684339,0.0002532267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002521316,"threshold_uncertainty_score":0.01333416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217866463120254,"score_gpt":0.2542586165996771,"score_spread":0.2324719702876517,"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."}}