{"id":"W2149009772","doi":"10.1161/hypertensionaha.115.05782","title":"Thresholds for Diagnosing Hypertension Based on Automated Office Blood Pressure Measurements and Cardiovascular Risk","year":2015,"lang":"en","type":"article","venue":"Hypertension","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"Canadian Institutes of Health Research; Health Canada; Institute for Clinical Evaluative Sciences","keywords":"Blood pressure; Medicine; Hazard ratio; Sphygmomanometer; Confidence interval; Cardiology; Internal medicine; Proportional hazards model","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":[0.001049008,0.0004313449,0.001218197,0.0002115628,0.0003851468,0.00004842198,0.0000959916,0.0003002482,0.000006069108],"category_scores_gemma":[0.001361768,0.0003213584,0.000359573,0.0002262852,0.0001031977,0.0001167323,0.00009651168,0.000286987,0.00002113191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001016141,"about_ca_system_score_gemma":0.0001092643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001604583,"about_ca_topic_score_gemma":0.000007787381,"domain_scores_codex":[0.9970717,0.0001741148,0.0003951236,0.0008415678,0.001035229,0.000482226],"domain_scores_gemma":[0.996977,0.0004058745,0.0001210123,0.0008719999,0.001218759,0.0004053344],"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":[0.008968,0.005789718,0.09827486,0.001443728,0.01977157,0.00135557,0.0006356426,0.009032073,0.04436127,0.00002773031,0.7866994,0.02364048],"study_design_scores_gemma":[0.06217288,0.006509378,0.08501459,0.002833335,0.1069733,0.002190324,0.0006324154,0.295614,0.02901408,0.00009341576,0.4067686,0.002183631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8415018,0.1440787,0.0004574331,0.003230978,0.001586349,0.004280287,0.0001109477,0.002040525,0.002712888],"genre_scores_gemma":[0.9899701,0.0004620719,0.003317958,0.005632555,0.0003010635,0.00008523457,0.0000519206,0.00008974156,0.00008933942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3799307,"threshold_uncertainty_score":0.9999238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1004294053536821,"score_gpt":0.272216924117733,"score_spread":0.1717875187640509,"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."}}