{"id":"W2072054259","doi":"10.1097/mbp.0b013e32832c5167","title":"Consistent relationship between automated office blood pressure recorded in different settings","year":2009,"lang":"en","type":"article","venue":"Blood Pressure Monitoring","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; Health Sciences Centre","funders":"","keywords":"Medicine; Ambulatory blood pressure; Blood pressure; Intraclass correlation; Sphygmomanometer; Ambulatory; Diastole; Technician; Physical therapy; Emergency medicine; Internal medicine","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":[0.0004241807,0.0005308317,0.00128838,0.0003190369,0.0002950318,0.00008202164,0.0002411616,0.0004123938,0.00002449769],"category_scores_gemma":[0.000602898,0.0004543484,0.0002223504,0.0004393469,0.00006700818,0.0001871565,0.0001356954,0.0009172751,0.00001954901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006561635,"about_ca_system_score_gemma":0.00006554036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008854848,"about_ca_topic_score_gemma":0.000005364006,"domain_scores_codex":[0.9967455,0.0002202656,0.0008724334,0.0007831149,0.0006726806,0.0007060345],"domain_scores_gemma":[0.9975502,0.0008656368,0.0002731539,0.0007517477,0.0002734521,0.0002857377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000195079,0.000959475,0.982952,0.0004536611,0.003216631,0.0002242785,0.0008247826,0.00004958069,0.005848642,0.00005842135,0.004310208,0.000907251],"study_design_scores_gemma":[0.004415594,0.0004113461,0.9382691,0.00105032,0.02636155,0.00008823336,0.0001487878,0.00008980468,0.01493437,0.00008069332,0.01368097,0.0004691887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9294304,0.06024424,0.000004701726,0.004058733,0.00064639,0.001281477,0.00004534013,0.001432485,0.002856245],"genre_scores_gemma":[0.9950933,0.0001088426,0.001010358,0.0003419569,0.001368268,0.00005570532,0.00003468965,0.00005545371,0.001931412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06566293,"threshold_uncertainty_score":0.9997908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04433540849713646,"score_gpt":0.2934469221879581,"score_spread":0.2491115136908217,"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."}}