{"id":"W2793202282","doi":"10.1111/jch.13195","title":"Saving 100 million lives by improving global treatment of hypertension and reducing cardiovascular disease risk factors","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Hypertension","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Psychological intervention; Environmental health; Blood pressure; Disease; Global health; Health care; Developed country; Demography; Public health; Population; Economic growth; Internal medicine","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":[0.001302714,0.0006932807,0.001014604,0.0008301103,0.0008810292,0.001525298,0.0008429338,0.00158666,0.04931341],"category_scores_gemma":[0.004321234,0.0001136086,0.0007584521,0.0009530131,0.0005396617,0.001296596,0.001539296,0.002567772,0.0140421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008715592,"about_ca_system_score_gemma":0.0044476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006726802,"about_ca_topic_score_gemma":0.007247989,"domain_scores_codex":[0.9990442,0.0003050784,0.00006252668,0.00007877452,0.0003420172,0.0001673716],"domain_scores_gemma":[0.9982943,0.0001605826,0.0001684017,0.00007226065,0.0004887342,0.0008156613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001650482,0.000249247,0.004802328,0.001284748,0.0002080859,0.000134906,0.0001926698,0.000164543,0.000759676,0.008134941,0.6045756,0.3793283],"study_design_scores_gemma":[0.0001677118,0.0002812235,0.01407306,0.002741535,0.0002782521,0.0004460166,0.0003465349,0.0002388619,0.0003794436,0.007239816,0.9737809,0.00002675388],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01723084,0.3402161,0.00703952,0.3802762,0.03223861,0.0003062648,0.01133776,0.001904621,0.2094501],"genre_scores_gemma":[0.1559888,0.4407674,0.01888107,0.2216552,0.05102253,0.0006933479,0.01150123,0.0005205545,0.09896993],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04931341,"threshold_uncertainty_score":0.1649698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09202096230925816,"score_gpt":0.3370037955049584,"score_spread":0.2449828331957002,"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."}}