{"id":"W2901969664","doi":"10.1097/mbp.0000000000000356","title":"Accuracy of oscillometric blood pressure algorithms in healthy adults and in adults with cardiovascular risk factors","year":2018,"lang":"en","type":"article","venue":"Blood Pressure Monitoring","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"","keywords":"Medicine; Blood pressure; Diastole; Algorithm; Cardiology; Auscultation; Internal medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005275824,0.0002977167,0.000780199,0.0009806105,0.00008240026,0.00002100763,0.0001590645,0.0002161941,0.000003769105],"category_scores_gemma":[0.0003790063,0.0002453664,0.0001936177,0.001718951,0.0001351842,0.0002617551,0.00007129875,0.0004601653,3.698818e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000619995,"about_ca_system_score_gemma":0.00006115404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002893982,"about_ca_topic_score_gemma":0.00003339824,"domain_scores_codex":[0.9977531,0.0001692713,0.0004921229,0.0005942505,0.0005885693,0.0004026329],"domain_scores_gemma":[0.998555,0.0002143937,0.0002457064,0.0005590619,0.0002566055,0.0001692147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001452414,0.0004350473,0.9786114,0.001063717,0.002369813,0.00004500476,0.003163801,0.00007406737,0.0002946272,0.00000160553,0.000004378319,0.01248413],"study_design_scores_gemma":[0.009116982,0.002195673,0.8828298,0.00231127,0.003641574,0.00002737762,0.0006662632,0.00008214522,0.09820958,0.0000155328,0.0005854393,0.0003183532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9418505,0.05667443,0.00006454454,0.0000125062,0.0001461324,0.0009711589,0.00005393712,0.0001107203,0.0001160464],"genre_scores_gemma":[0.9918093,0.004794689,0.0029254,0.000005171326,0.000321935,0.00008918157,0.00000811821,0.00003652783,0.000009672741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09791496,"threshold_uncertainty_score":0.9999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159522746376295,"score_gpt":0.2584206356967429,"score_spread":0.2468254082329799,"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."}}