{"id":"W2002899643","doi":"10.1007/s11906-015-0533-5","title":"MEthods of ASsessing blood pressUre: identifying thReshold and target valuEs (MeasureBP): A Review & Study Protocol","year":2015,"lang":"en","type":"review","venue":"Current Hypertension Reports","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; McMaster University; Alberta Hospital Edmonton; University of British Columbia; Memorial University of Newfoundland; Université du Québec à Trois-Rivières; Montreal General Hospital; Libin Cardiovascular Institute of Alberta; Sunnybrook Health Science Centre; McGill University; McGill University Health Centre; University of Calgary","funders":"Canadian Institutes of Health Research; Hypertension Canada; Government of Canada","keywords":"Medicine; Protocol (science); Blood pressure; Medical physics; Data mining; Computer science; Internal medicine; Alternative medicine; Pathology","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":[0.0293414,0.003724838,0.01204597,0.008785967,0.001941019,0.004375584,0.003455083,0.003468995,0.04363081],"category_scores_gemma":[0.05675927,0.003327342,0.01562289,0.007423477,0.002665342,0.003359904,0.003656767,0.004196537,0.005491834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006422215,"about_ca_system_score_gemma":0.03108117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005940776,"about_ca_topic_score_gemma":0.01598948,"domain_scores_codex":[0.9839042,0.004035147,0.007759893,0.00100058,0.002780737,0.0005193285],"domain_scores_gemma":[0.978879,0.008665503,0.00730941,0.0009348101,0.003632631,0.0005786292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002715861,0.0002111294,0.0006760592,0.9274228,0.002261817,0.0001322278,0.0006502854,0.0003150498,0.0006500668,0.001421041,0.008920485,0.05462309],"study_design_scores_gemma":[0.01601538,0.001983813,0.008978943,0.7825819,0.0370448,0.0005535593,0.001235677,0.0004501334,0.002100453,0.003221227,0.1455048,0.0003291975],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.002235266,0.09691204,0.005267655,0.001155131,0.0009167752,0.8791669,0.01189541,0.0002339352,0.002216835],"genre_scores_gemma":[0.003580854,0.0627622,0.01552351,0.000992957,0.0001603625,0.9133548,0.001611722,0.00004385266,0.001969759],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.04363081,"threshold_uncertainty_score":0.155174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3604006740379571,"score_gpt":0.5182355687015825,"score_spread":0.1578348946636254,"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."}}