{"id":"W4206932597","doi":"","title":"Predicting out-of-office blood pressure in a diverse us population","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; Kaiser Foundation Research Institute; National Institute of General Medical Sciences; University of Alabama at Birmingham; National Institute for Health and Care Research; National Center for Advancing Translational Sciences; Health Resources and Services Administration; Wellcome Trust; Mississippi State Department of Health; National Heart, Lung, and Blood Institute; NIHR School for Primary Care Research; Northwestern University; Jackson State University; University of Minnesota; American Heart Association","keywords":"Medicine; Blood pressure; Diastole; Ambulatory blood pressure; Referral; Internal medicine; Cardiology; Population; Confidence interval; Masked Hypertension; Ambulatory; Guideline; Physician Office; Systole; Family medicine; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00495919,0.000553944,0.0005469564,0.001070334,0.0003192328,0.0007427541,0.0006469862,0.0006299804,0.0006736128],"category_scores_gemma":[0.01305252,0.000190492,0.0006697927,0.001058981,0.0004663406,0.0005277205,0.0006762546,0.0004296074,0.0001845989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003989997,"about_ca_system_score_gemma":0.0006031849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008784629,"about_ca_topic_score_gemma":0.01342227,"domain_scores_codex":[0.9964809,0.001647357,0.0004442367,0.0006544541,0.0006162106,0.0001568501],"domain_scores_gemma":[0.9923354,0.002254596,0.002766837,0.0005724595,0.001685025,0.0003857916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002170654,0.00006979483,0.9947861,0.00003732348,0.0003310774,0.00003079814,0.00004045078,0.0003166955,0.0001993293,0.00002354656,0.0002358203,0.003711937],"study_design_scores_gemma":[0.00009221726,0.0005059034,0.9943736,0.00006817863,0.0004817329,0.0003486369,0.0001471316,0.00279595,0.0004059524,0.0001896835,0.0005701127,0.00002089084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944381,0.001400166,0.001963992,0.0001738071,0.00002712452,0.00009230296,0.001164229,0.00003013351,0.0007102374],"genre_scores_gemma":[0.9974737,0.0003210654,0.001246446,0.000167461,0.00004762286,0.00004439781,0.0006521195,0.000003842602,0.0000432268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008784629,"threshold_uncertainty_score":0.02622706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06284811654512511,"score_gpt":0.2807456475127432,"score_spread":0.2178975309676181,"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."}}