{"id":"W3137203448","doi":"10.1093/ajh/hpaa158","title":"Wearable Technology to Detect Stress-Induced Blood Pressure Changes: The Next Chapter in Ambulatory Blood Pressure Monitoring?","year":2021,"lang":"en","type":"letter","venue":"American Journal of Hypertension","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"","keywords":"Medicine; Blood pressure; Ambulatory blood pressure; Wearable computer; Ambulatory; Cardiology; Internal medicine; Intensive care medicine; Embedded system","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002673855,0.0006636218,0.00125993,0.0008238186,0.0001163448,0.000119835,0.0009303792,0.0006013755,0.00002236901],"category_scores_gemma":[0.0001587423,0.0005264495,0.0002818313,0.0009349538,0.0001377596,0.0002444734,0.0002415994,0.003929847,0.00001060881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004139107,"about_ca_system_score_gemma":0.00007774243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000118779,"about_ca_topic_score_gemma":0.00001498585,"domain_scores_codex":[0.9970266,0.0001355628,0.0007060886,0.0005116795,0.0007889103,0.0008312175],"domain_scores_gemma":[0.997855,0.0002599078,0.0004605246,0.0008356909,0.0004242069,0.0001646848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004938382,0.00008141647,0.002264816,0.0003883983,0.003651476,0.007978315,0.0005024061,0.00402451,0.948531,0.000001000576,0.005810568,0.02671672],"study_design_scores_gemma":[0.002147541,0.003108665,0.001210384,0.0108728,0.007236028,0.00476345,0.002063351,0.0001078698,0.848073,0.00006695643,0.1181457,0.002204214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8470772,0.08894818,0.00006231026,0.05834049,0.00439801,0.0008010677,0.0000286569,0.0002570533,0.00008702191],"genre_scores_gemma":[0.9814701,0.00232515,0.001403932,0.008800526,0.005611212,0.00004255281,0.000002097018,0.0002671519,0.00007728318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1343929,"threshold_uncertainty_score":0.9997187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319266400508771,"score_gpt":0.2222573655832992,"score_spread":0.1990647015782115,"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."}}