{"id":"W7075626650","doi":"","title":"Predicting out-of-office blood pressure in the clinic (PROOF-BP): derivation and validation of a tool to improve the accuracy of blood pressure measurement in clinical practice","year":2016,"lang":"en","type":"article","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NIHR School for Primary Care Research; NIHR Oxford Biomedical Research Centre; University College London; Medical Research Council; National Institute for Health and Care Research","keywords":"Blood pressure; Ambulatory blood pressure; Receiver operating characteristic; Clinical Practice; White coat hypertension; Ambulatory; Confidence interval; Pulse pressure; Guideline","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02145853,0.0009055074,0.001432579,0.003375117,0.0002810348,0.001731304,0.001090553,0.0008823776,0.0005107282],"category_scores_gemma":[0.08185779,0.0004012366,0.001320055,0.002206554,0.0003278987,0.0009774291,0.0007663114,0.001047689,0.000308739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004093228,"about_ca_system_score_gemma":0.002248234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003899456,"about_ca_topic_score_gemma":0.007044044,"domain_scores_codex":[0.9869109,0.008014419,0.001415425,0.001127383,0.002392453,0.0001392625],"domain_scores_gemma":[0.9331319,0.05060376,0.007359973,0.001786462,0.006722814,0.0003951535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008798965,0.0008754875,0.66316,0.003965933,0.002848185,0.0005650583,0.0007621892,0.0109165,0.002753077,0.0009288735,0.002311768,0.3100331],"study_design_scores_gemma":[0.0008248274,0.006637678,0.6806399,0.003321475,0.00555428,0.002805533,0.0009267922,0.2810817,0.006243906,0.003046337,0.008684925,0.0002327096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8728257,0.02195087,0.09769368,0.001489956,0.0002216895,0.0009775882,0.002192095,0.000382625,0.002265731],"genre_scores_gemma":[0.9312778,0.003721295,0.06269605,0.0002977361,0.0001352584,0.0003544789,0.001294016,0.0000255787,0.0001979003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02145853,"threshold_uncertainty_score":0.1134849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05920666282583441,"score_gpt":0.3243613923262766,"score_spread":0.2651547295004422,"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."}}