{"id":"W2002899643","doi":"10.1007/s11906-015-0533-5","title":"MEthods of ASsessing blood pressUre: identifying thReshold and target valuEs (MeasureBP): A Review &amp; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006463953,0.001154954,0.009670646,0.0004570017,0.000248467,0.00009813463,0.0002165895,0.0004181847,0.00006254508],"category_scores_gemma":[0.001785401,0.0007560926,0.0009595472,0.0007444822,0.0002130472,0.0002445331,0.0007907126,0.001250823,0.000007373863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001646933,"about_ca_system_score_gemma":0.0008598167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001947719,"about_ca_topic_score_gemma":0.000001152546,"domain_scores_codex":[0.991372,0.001241668,0.003426311,0.00168931,0.001715144,0.0005555548],"domain_scores_gemma":[0.9920979,0.0003149251,0.002853373,0.002104436,0.002162112,0.0004672373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002163881,0.002282796,0.0005068614,0.2598591,0.00444602,0.001320667,0.0001185833,1.002493e-7,0.00001856069,0.000001479954,0.04404281,0.6873813],"study_design_scores_gemma":[0.0007794859,0.00017497,0.00004645808,0.1432836,0.08331261,0.006972836,0.00003842107,0.000002005552,0.000005572766,0.00004990611,0.7648101,0.0005240313],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000003937455,0.888056,0.00002937878,0.00004376282,0.0009187211,0.1105183,0.000008559692,0.0001441892,0.0002771573],"genre_scores_gemma":[0.000006153638,0.9595385,0.005905734,0.0001654838,0.000354882,0.03350534,0.00007490373,0.0001545238,0.0002944877],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7207673,"threshold_uncertainty_score":0.999489,"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."}}