{"id":"W4205232580","doi":"10.1016/j.cjca.2021.12.020","title":"Identifying Resistant Hypertension in the Population: The Devil Is in the Details","year":2022,"lang":"en","type":"letter","venue":"Canadian Journal of Cardiology","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Resistant hypertension; Population; Multitude; Clinical trial; Post hoc; Post-hoc analysis; Demography; Environmental health; Internal medicine; Blood pressure","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003462369,0.000699023,0.001749219,0.001372752,0.004881939,0.003644435,0.001502474,0.0273079,0.004659801],"category_scores_gemma":[0.02831284,0.0006865934,0.0008609445,0.0009819597,0.00199735,0.004185327,0.001278552,0.03096537,0.002727447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004083217,"about_ca_system_score_gemma":0.008648265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04254225,"about_ca_topic_score_gemma":0.0708067,"domain_scores_codex":[0.9963773,0.001070767,0.0007091493,0.0003524677,0.001025023,0.0004652999],"domain_scores_gemma":[0.9848453,0.005094206,0.0007488617,0.0003536879,0.003881604,0.005076375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006311149,0.00007659276,0.006167595,0.00008396104,0.00002919636,0.003911226,0.0003132941,0.00004304142,0.0002177375,0.001022977,0.9741734,0.01389784],"study_design_scores_gemma":[0.0002690238,0.0002660344,0.01714589,0.001919577,0.0001380474,0.01415769,0.004640352,0.0009926133,0.0003355731,0.01254759,0.9473494,0.0002382824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006119653,0.00102729,0.00005766697,0.9835713,0.01288047,0.00001404181,0.00004606881,0.00001270574,0.001778631],"genre_scores_gemma":[0.006238293,0.002469331,0.000522366,0.9249614,0.05986123,0.00004893668,0.00003963281,0.00002740116,0.005831271],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04254225,"threshold_uncertainty_score":0.08458924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07229621544946174,"score_gpt":0.272686666688496,"score_spread":0.2003904512390343,"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."}}