{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000536388,0.00008003957,0.0002531089,0.00009504519,0.0001037406,0.000004281835,0.0000661217,0.00003883798,0.03323392],"category_scores_gemma":[0.0003575741,0.00007656858,0.00005622537,0.0002282698,0.000002877899,0.00004791621,0.0002471734,0.0002664529,0.00003641604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003058353,"about_ca_system_score_gemma":0.00001996273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001623145,"about_ca_topic_score_gemma":0.00006317476,"domain_scores_codex":[0.9992096,0.00004171938,0.0001791649,0.0001709836,0.0002688675,0.0001296564],"domain_scores_gemma":[0.9995568,0.00008077855,0.00008881677,0.0001649538,0.00007337587,0.00003524384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003327752,0.0007402618,0.3507877,0.001105722,0.0009101018,0.000413518,0.002899682,0.0006195355,0.0006039447,0.000006183549,0.639397,0.002183613],"study_design_scores_gemma":[0.002728983,0.0003474451,0.5882746,0.001530046,0.00161702,0.00005602317,0.0009138301,0.0007976273,0.0004092937,0.00000766091,0.4031069,0.0002105533],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6578768,0.05133446,1.872252e-7,0.001189652,0.0007941219,0.002520222,0.2696089,0.0004466008,0.01622907],"genre_scores_gemma":[0.9862404,0.000006895505,0.00003020008,0.0004913279,0.00009620377,0.0001034231,0.01269358,0.00001226135,0.0003256958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3283636,"threshold_uncertainty_score":0.9676498,"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."}}