{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003286505,0.0002970072,0.000429624,0.001074062,0.0001677012,0.0008747785,0.0004538312,0.0005048997,0.0009027111],"category_scores_gemma":[0.01233522,0.0002804478,0.0003573879,0.0007109616,0.0003105856,0.0005403614,0.0004938189,0.0005750969,0.0002825662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002026211,"about_ca_system_score_gemma":0.0002327044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073886,"about_ca_topic_score_gemma":0.00145264,"domain_scores_codex":[0.9965088,0.001801539,0.0002253566,0.0002790681,0.001013443,0.0001718056],"domain_scores_gemma":[0.9907872,0.005337196,0.002146765,0.0006204217,0.0008030995,0.000305266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006609221,0.0001212944,0.9746098,0.00005374181,0.0001030379,0.0000915499,0.0001366994,0.0005811712,0.003205233,0.0001979988,0.0004756502,0.01976286],"study_design_scores_gemma":[0.00002946574,0.000474853,0.992914,0.0000287406,0.00005365356,0.0006465889,0.00009914452,0.003912607,0.001007159,0.0004745219,0.0003409955,0.00001827592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813984,0.001565309,0.01235604,0.0001661438,0.00007051623,0.0001094948,0.0004421102,0.0001504421,0.003741407],"genre_scores_gemma":[0.9926604,0.0001403242,0.006663863,0.00004627146,0.00003375012,0.00003389521,0.0002164884,0.000008830237,0.0001962229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003286505,"threshold_uncertainty_score":0.01738095,"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."}}