{"id":"W2912661903","doi":"10.1007/s11906-019-0921-3","title":"Personalized Medicine and the Treatment of Hypertension","year":2019,"lang":"en","type":"review","venue":"Current Hypertension Reports","topic":"Hormonal Regulation and Hypertension","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint John Regional Hospital","funders":"National Institutes of Health; National Heart, Lung, and Blood Institute; Fondation de la recherche en santé du Nouveau-Brunswick; American Heart Association","keywords":"Medicine; Nephrology; Personalized medicine; Internal medicine; Intensive care medicine; Precision medicine; Bioinformatics; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005273933,0.0007244008,0.00565756,0.0003934164,0.0001328613,0.0000134031,0.00007699786,0.0003608432,0.0001467344],"category_scores_gemma":[0.0004487688,0.0003137905,0.00113432,0.0003663762,0.0007996044,0.00004422382,0.00006534238,0.0003114758,0.00003260565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001288823,"about_ca_system_score_gemma":0.000407718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004838101,"about_ca_topic_score_gemma":8.084543e-7,"domain_scores_codex":[0.9960483,0.0002376516,0.001662215,0.0008539332,0.0008813275,0.0003166167],"domain_scores_gemma":[0.9961566,0.0006577792,0.001161024,0.001188126,0.00056403,0.0002724009],"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":[0.000216162,0.0003690326,0.00001408866,0.005174255,0.0003316659,0.0008209178,0.0001167723,9.216652e-8,0.00001879984,0.0003184091,0.003533453,0.9890863],"study_design_scores_gemma":[0.004055804,0.0005535281,0.00007448703,0.01778002,0.00886098,0.01978531,0.00004245594,0.0001355775,0.000001612469,0.0000538451,0.9483814,0.0002749316],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000540807,0.9939541,0.0000077585,0.0008162733,0.001504952,0.002768116,0.000006105162,0.00005664854,0.0003452218],"genre_scores_gemma":[0.0004372181,0.9973381,0.0000528315,0.0001647465,0.0004185159,0.00006906235,0.0002864069,0.00008455823,0.00114853],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9888114,"threshold_uncertainty_score":0.9999314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2598073046186338,"score_gpt":0.3870373800998486,"score_spread":0.1272300754812147,"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."}}