{"id":"W3012654729","doi":"10.1161/hypertensionaha.119.14171","title":"Are Automated Office Blood Pressure Readings More Variable Than Home Readings?","year":2020,"lang":"en","type":"article","venue":"Hypertension","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institutes of Health Research; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Blood pressure; Ambulatory blood pressure; Ambulatory; Cardiology; Gold standard (test); Internal medicine; Significant difference; Mean difference; Confidence interval","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001636057,0.0003964061,0.001183405,0.0001093001,0.0002804164,0.00004800113,0.0001732974,0.00031101,0.0001289201],"category_scores_gemma":[0.0005312135,0.0003096191,0.0001675858,0.0005587804,0.0001036667,0.0001762399,0.0002229366,0.0004534475,0.0002447272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005110419,"about_ca_system_score_gemma":0.00005719695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001184247,"about_ca_topic_score_gemma":0.000002595311,"domain_scores_codex":[0.9976766,0.00005708028,0.0004211484,0.0007648514,0.0005649566,0.0005153811],"domain_scores_gemma":[0.9980669,0.0001513459,0.0002531263,0.0004844124,0.0006055172,0.0004386897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008400583,0.0005353843,0.01222695,0.0007022625,0.002206284,0.001550294,0.001089534,0.00002081591,0.2455141,0.0002777461,0.734851,0.0001855376],"study_design_scores_gemma":[0.009440724,0.001222851,0.09196733,0.00191608,0.02687575,0.003120979,0.00229486,0.02250478,0.03644158,0.00005824107,0.8026586,0.001498198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8250638,0.06696372,0.0001709859,0.07644672,0.001412962,0.002739143,0.0002066306,0.009735623,0.01726047],"genre_scores_gemma":[0.9566377,0.0002600249,0.001768046,0.03895559,0.0005068965,0.00001915008,0.00005699926,0.00008979594,0.001705774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2090726,"threshold_uncertainty_score":0.9999356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03853198609373273,"score_gpt":0.2501189528777772,"score_spread":0.2115869667840445,"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."}}