{"id":"W2587025365","doi":"10.1097/md.0000000000005924","title":"Antihypertensive medications and risk of death and hospitalizations in US hemodialysis patients","year":2017,"lang":"en","type":"article","venue":"Medicine","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Seven Oaks General Hospital; University of Manitoba","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; University of California, San Francisco; Cleveland Clinic Foundation; Cleveland Clinic; University of Miami; Johns Hopkins University; Agency for Healthcare Research and Quality; National Institutes of Health; Nierstichting; U.S. Department of Health and Human Services","keywords":"Medicine; Hemodialysis; Hazard ratio; Cohort; Internal medicine; Dialysis; Proportional hazards model; Cohort study; Confidence interval","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":[],"consensus_categories":[],"category_scores_codex":[0.0001611942,0.0000921863,0.0005100567,0.000136385,0.0001914971,0.000004697837,0.0000498222,0.00005220294,0.00001880008],"category_scores_gemma":[0.001069925,0.00006222558,0.00001963075,0.00006930807,0.0003934933,0.00005457419,0.00007290249,0.00008813017,8.93718e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003209355,"about_ca_system_score_gemma":0.00001624675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099168,"about_ca_topic_score_gemma":0.0001315152,"domain_scores_codex":[0.9992797,0.00002403567,0.0002297485,0.0001795813,0.0001859566,0.0001009184],"domain_scores_gemma":[0.9990313,0.0001030584,0.0001659638,0.0003337268,0.0002759105,0.00009002421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001727363,0.000075815,0.9939927,0.00003633335,0.0002347516,0.000009339476,0.0008288006,1.222759e-7,0.00009683314,0.00008148828,0.001667087,0.002959457],"study_design_scores_gemma":[0.00286217,0.0001844524,0.9922835,0.0002021266,0.001822424,0.000008138975,0.0002400025,0.000110515,0.00006829631,0.0001372735,0.002025504,0.00005558174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860076,0.005821134,0.0000273457,0.006282014,0.00007427164,0.0002038621,0.0000127069,0.000008986998,0.001562045],"genre_scores_gemma":[0.9911062,0.007891296,0.0002085911,0.000616725,0.00006622884,0.000008008898,0.00001581729,0.000007491797,0.00007961607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005665289,"threshold_uncertainty_score":0.2537486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01980707204434123,"score_gpt":0.2782320210167333,"score_spread":0.258424948972392,"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."}}