{"id":"W4206742742","doi":"10.51731/cjht.2022.242","title":"Renal Denervation for People With Hypertension","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Denervation; Horizon; Intervention (counseling); Medicine; Focus (optics); Information technology; Emerging technologies; Business; Computer science; Intensive care medicine; Nursing; Internal medicine; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007720381,0.0001178887,0.0004144013,0.0005439579,0.0008024005,0.0006008636,0.0002486062,0.0005457506,0.01118396],"category_scores_gemma":[0.001977262,0.00007048652,0.0006159819,0.000921946,0.0001843385,0.0002974816,0.0003011887,0.0007924885,0.001066817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009930374,"about_ca_system_score_gemma":0.003490531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04851776,"about_ca_topic_score_gemma":0.12525,"domain_scores_codex":[0.9995962,0.00008688136,0.00003372956,0.00002580882,0.0001812588,0.00007615382],"domain_scores_gemma":[0.9994535,0.000149671,0.0001041323,0.00001997615,0.0001345361,0.0001382547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002036995,0.0005988361,0.0408714,0.005273506,0.0003132885,0.0006164906,0.0004462846,0.00003237756,0.0006676287,0.001832171,0.1441246,0.8031864],"study_design_scores_gemma":[0.002807854,0.004181498,0.4814379,0.01977621,0.002574553,0.005169469,0.001504187,0.000224316,0.0009243385,0.003735673,0.4775876,0.00007637008],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.08799448,0.7242878,0.0005214672,0.0363342,0.003264909,0.0004850394,0.005000581,0.0001313507,0.1419802],"genre_scores_gemma":[0.4118637,0.5274255,0.002280446,0.02497787,0.004622826,0.0003628193,0.002951322,0.00003160094,0.02548379],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04851776,"threshold_uncertainty_score":0.09647071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04866380843292956,"score_gpt":0.2672997802750063,"score_spread":0.2186359718420767,"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."}}