{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004149927,0.00007614248,0.0004324074,0.0003879317,0.0006025206,0.000008144474,0.0001010033,0.00004063204,0.00001387806],"category_scores_gemma":[0.0001615612,0.00005446599,0.00005315732,0.0002621373,0.0000582032,0.00004488686,0.00001989857,0.000284609,4.561089e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000894019,"about_ca_system_score_gemma":0.001589129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001420336,"about_ca_topic_score_gemma":0.003013112,"domain_scores_codex":[0.9991748,0.00002416662,0.0002865626,0.00009538383,0.0001681687,0.0002509078],"domain_scores_gemma":[0.9991999,0.00005374801,0.0002341341,0.0001387614,0.0003162715,0.00005715082],"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":[0.0007313941,0.000133971,0.04320043,0.0003975987,0.0006662547,0.0007733474,0.001373949,0.0002279659,0.0009283469,0.001943167,0.4661312,0.4834923],"study_design_scores_gemma":[0.001655597,0.00314501,0.01998173,0.0001407928,0.0002021855,0.00384683,0.007608454,0.00004669582,0.0003811165,0.0007524695,0.9621291,0.0001099947],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4364264,0.1914741,0.001034268,0.3692919,0.0005352458,0.0009020366,0.00004395299,0.00014713,0.0001449851],"genre_scores_gemma":[0.9931498,0.0001580296,0.002284985,0.004260708,0.00001630983,0.00002663439,0.000005289919,0.00001192951,0.00008638598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5567234,"threshold_uncertainty_score":0.4634162,"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."}}