{"id":"W1984716282","doi":"10.1088/0967-3334/33/6/881","title":"Augmented blood pressure measurement through the noninvasive estimation of physiological arterial pressure variability","year":2012,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Ontario Centres of Excellence","keywords":"Blood pressure; Standard deviation; Outlier; Confidence interval; Pressure measurement; Medicine; Interval (graph theory); Mathematics; Statistics; Cardiology; Internal medicine; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.003447657,0.0003950334,0.0008844202,0.00002476736,0.0002136768,0.00002118912,0.0002676747,0.0002655932,0.0005938362],"category_scores_gemma":[0.002070764,0.0002198395,0.0003575459,0.0001863002,0.0003522502,0.0001861144,0.0001499349,0.0004581237,0.00003505224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001109205,"about_ca_system_score_gemma":0.0002219396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005513144,"about_ca_topic_score_gemma":0.000001309522,"domain_scores_codex":[0.9955246,0.001071788,0.0008580863,0.000587068,0.001283001,0.0006753978],"domain_scores_gemma":[0.9977411,0.0002009544,0.0003136003,0.000865616,0.0006607991,0.000217935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005326616,0.005177244,0.0003804696,0.0004070388,0.001541791,0.000001444385,0.0006431425,0.002715603,0.983863,0.002080073,0.0009190839,0.001738432],"study_design_scores_gemma":[0.01049843,0.00375889,0.6828305,0.0006267179,0.00876435,0.00004594204,0.0003172077,0.007567561,0.2509315,0.00818167,0.02532687,0.001150306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719973,0.003505868,0.008824609,0.005006318,0.001386355,0.007033592,0.0001179382,0.0003546668,0.001773383],"genre_scores_gemma":[0.9976166,0.00002188852,0.0008927137,0.0004801399,0.0006162235,0.0003144255,0.00002137836,0.00001631687,0.00002034024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7329315,"threshold_uncertainty_score":0.8964792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09188652606477675,"score_gpt":0.2863682789776443,"score_spread":0.1944817529128676,"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."}}