{"id":"W2954565918","doi":"10.1038/s41746-019-0134-9","title":"Real-world heart rate norms in the Health eHeart study","year":2019,"lang":"en","type":"article","venue":"npj Digital Medicine","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":205,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Fonds de Recherche du Québec-Société et Culture; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; U.S. Department of Health and Human Services","keywords":"Photoplethysmogram; Percentile; Medicine; Intraclass correlation; Demographics; Body mass index; Heart rate; Cohort; Cardiology; Internal medicine; Cardiovascular health; Physical therapy; Demography; Blood pressure; Disease; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002372964,0.0002230625,0.0008072194,0.0002191789,0.00006169234,0.00004310484,0.0001537704,0.00005006346,0.000409143],"category_scores_gemma":[0.0002907637,0.0001263511,0.00007994659,0.0006200823,0.0001144075,0.0002055254,0.00004204557,0.0004720254,0.0005516974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001727804,"about_ca_system_score_gemma":0.0003497036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001519508,"about_ca_topic_score_gemma":0.0005840206,"domain_scores_codex":[0.9977765,0.0001909083,0.0007035556,0.0004352276,0.0004127127,0.0004811041],"domain_scores_gemma":[0.9983192,0.0005716194,0.00008292413,0.0007516252,0.00005606474,0.0002185632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005755572,0.003208082,0.9342058,0.0003290375,0.0001270511,0.0001500337,0.01420341,0.00001574945,0.003309087,0.001611187,0.0135366,0.02872841],"study_design_scores_gemma":[0.005412128,0.004030819,0.8546543,0.0002574337,0.00002319439,0.00003490967,0.004146913,0.0002108011,0.00001193345,0.0002251535,0.1308466,0.0001459318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8924558,0.00006594559,0.000004491448,0.07338201,0.0003173968,0.002377822,0.0000075139,0.00006791799,0.03132114],"genre_scores_gemma":[0.9861788,0.00001361161,0.0000128843,0.008724076,0.0003666992,0.00004558248,0.00003233957,0.00002224028,0.004603743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.11731,"threshold_uncertainty_score":0.7091138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02434942508142618,"score_gpt":0.3197553516243565,"score_spread":0.2954059265429303,"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."}}