{"id":"W4413309365","doi":"10.1177/20552076251367506","title":"Measuring resting heart rate during daily life using wearable technology: Examining the impact of behavioral context and methodological criteria","year":2025,"lang":"en","type":"article","venue":"Digital Health","topic":"Heart rate and cardiovascular health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Wearable computer; Context (archaeology); RESTING HEART RATE; Wearable technology; Psychology; Heart rate; Applied psychology; Computer science; Medicine; Internal medicine; Biology; Embedded system; Blood pressure","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009211211,0.0004809719,0.0003899734,0.0005442864,0.0003497872,0.0008920566,0.0005476403,0.0004287797,0.0004458395],"category_scores_gemma":[0.02750316,0.000257764,0.0004628611,0.0006639804,0.0004957965,0.000503473,0.0008912219,0.0002966226,0.0001209535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001682029,"about_ca_system_score_gemma":0.0002493457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008456248,"about_ca_topic_score_gemma":0.002991429,"domain_scores_codex":[0.9913301,0.004626497,0.001231721,0.0008980796,0.001759987,0.0001535384],"domain_scores_gemma":[0.9762382,0.01225801,0.006826754,0.001531908,0.002817919,0.0003271605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001271531,0.0002387597,0.9393599,0.0004339276,0.000616095,0.00009268252,0.001120142,0.0004648261,0.01581444,0.0001266445,0.0001349135,0.04032607],"study_design_scores_gemma":[0.00002270174,0.001701577,0.9942211,0.00004537711,0.0001247515,0.0002313629,0.0003695273,0.0007832252,0.001973951,0.00006771758,0.0004414099,0.00001742113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877592,0.001109667,0.009603806,0.0001004095,0.00004987887,0.0001313329,0.0001635936,0.00001914803,0.001062933],"genre_scores_gemma":[0.9899015,0.0002452704,0.009080056,0.00009606492,0.00006190528,0.0001938447,0.0002277738,0.00001324828,0.0001803075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009211211,"threshold_uncertainty_score":0.0487141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2335226003224002,"score_gpt":0.4402928535017568,"score_spread":0.2067702531793565,"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."}}