{"id":"W2946475827","doi":"10.1097/mbp.0000000000000391","title":"Validation protocols for blood pressure measuring devices","year":2019,"lang":"en","type":"article","venue":"Blood Pressure Monitoring","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; Health Sciences Centre; Institute of Health Services and Policy Research","funders":"National Institute for Health and Care Research","keywords":"Standardization; Protocol (science); Medicine; Medical instrumentation; Blood pressure; International standardization; Instrumentation (computer programming); Computer science; Internal medicine; Alternative medicine; Pathology; Cardiology","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":[0.0005259779,0.0004102713,0.0009260873,0.0001568617,0.0002777336,0.0001276839,0.0002674293,0.0002747582,0.00006822636],"category_scores_gemma":[0.0001625399,0.0003589482,0.000258833,0.0001991813,0.00003537119,0.0003456308,0.0001703295,0.0003558017,0.00004022809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000252852,"about_ca_system_score_gemma":0.00008283008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003731434,"about_ca_topic_score_gemma":0.000001445861,"domain_scores_codex":[0.9973431,0.00007843375,0.0005336955,0.0007506039,0.0007004775,0.0005937299],"domain_scores_gemma":[0.9978964,0.0002657661,0.0002479582,0.0007915216,0.0006076435,0.000190743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000917645,0.001555175,0.6558918,0.009257994,0.02179978,0.00005441395,0.001280579,0.0003682297,0.3020329,0.0002512265,0.00286527,0.003724923],"study_design_scores_gemma":[0.007154203,0.0007001739,0.02723604,0.001771658,0.03715377,0.00009340842,0.0001906816,0.00009401676,0.617385,0.00006457982,0.3075728,0.0005837623],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6731383,0.1898166,0.0001986644,0.00236816,0.004585064,0.1087883,0.0001975652,0.002341908,0.01856544],"genre_scores_gemma":[0.9802523,0.00005261214,0.003703393,0.0001570038,0.002159427,0.007148535,0.00001588754,0.0001017098,0.006409165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6286558,"threshold_uncertainty_score":0.9998863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06074786913551072,"score_gpt":0.3121896413065021,"score_spread":0.2514417721709914,"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."}}