{"id":"W2774475467","doi":"10.1097/hjh.0000000000001528","title":"Risk of stroke and coronary heart disease among various levels of blood pressure in diabetic and nondiabetic Chinese patients","year":2017,"lang":"en","type":"article","venue":"Journal of Hypertension","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Diabetes mellitus; Stroke (engine); Odds ratio; Internal medicine; Blood pressure; Confidence interval; Population; Epidemiology; Cardiology; Coronary artery disease; Endocrinology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003060492,0.0001574169,0.0009890834,0.0001691363,0.0001106991,0.00001252882,0.00008300145,0.0000807308,0.000009756273],"category_scores_gemma":[0.0007142279,0.0001030946,0.00009831459,0.00003982923,0.000254908,0.0001779544,0.0001470766,0.0002669947,2.802146e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001722574,"about_ca_system_score_gemma":0.00004226287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007205977,"about_ca_topic_score_gemma":0.000009123501,"domain_scores_codex":[0.9987231,0.00007818611,0.0005235755,0.0001591819,0.0003642089,0.0001517236],"domain_scores_gemma":[0.9982283,0.0001691084,0.0006347536,0.0003086819,0.0004670159,0.0001921236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004641759,0.0006002886,0.9877066,0.0002430338,0.0005406918,0.00019098,0.000176769,0.00000425765,0.008748995,8.862749e-7,0.0003114497,0.001011856],"study_design_scores_gemma":[0.005634112,0.0008802842,0.9864405,0.0006534353,0.005376484,0.0001151844,0.00003731635,0.0001355202,0.000485419,0.00008941858,0.00006225577,0.00009005983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750581,0.02410672,7.439535e-7,0.0004304847,0.0001187764,0.000199728,0.00004710021,0.000002655451,0.00003566109],"genre_scores_gemma":[0.9986658,0.0008028601,0.0002217017,0.0001772625,0.00005032177,0.000001082117,9.304799e-7,0.00001485222,0.00006516791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02360769,"threshold_uncertainty_score":0.4204077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649814824363957,"score_gpt":0.243591372243174,"score_spread":0.2270932239995344,"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."}}