{"id":"W2937592074","doi":"10.1161/circulationaha.118.039100","title":"Cardiovascular Risk and Risk Factor Management in Type 2 Diabetes Mellitus","year":2019,"lang":"en","type":"article","venue":"Circulation","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre","funders":"Medical Research Council; National Institute for Health and Care Research","keywords":"Medicine; Hazard ratio; Type 2 Diabetes Mellitus; Diabetes mellitus; Internal medicine; Relative risk; Risk factor; Type 2 diabetes; Cohort study; Proportional hazards model; Confidence interval; Retrospective cohort study; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001299114,0.0001785343,0.0004204752,0.0005709202,0.0002873303,0.0007498769,0.0002649662,0.0002908538,0.001415887],"category_scores_gemma":[0.004728324,0.0001223173,0.0005059294,0.001462315,0.0001776416,0.0003372366,0.000505358,0.0007616481,0.0001503706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004385769,"about_ca_system_score_gemma":0.000790262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007682546,"about_ca_topic_score_gemma":0.007550628,"domain_scores_codex":[0.9988093,0.0004795822,0.0001850128,0.0001395578,0.0002850217,0.000101418],"domain_scores_gemma":[0.997973,0.0004476688,0.001037039,0.0001072098,0.000193238,0.0002418055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008886019,0.00006885127,0.9788607,0.0001190547,0.0001085549,0.00012839,0.00008741249,0.00009078744,0.0000608926,0.0001237072,0.001181325,0.0190814],"study_design_scores_gemma":[0.0000250757,0.0001020684,0.9963554,0.0002109407,0.00008130913,0.0004722498,0.0001423917,0.0002198317,0.00004533318,0.0003028171,0.002035215,0.000007426471],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9330931,0.04073808,0.001036152,0.006809982,0.0003895929,0.00008950331,0.003377573,0.00002398036,0.01444213],"genre_scores_gemma":[0.986537,0.009757721,0.0009914503,0.0007626372,0.0003313631,0.00005924928,0.001120039,0.000004152908,0.0004362802],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007682546,"threshold_uncertainty_score":0.01527566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016123561764132,"score_gpt":0.2164785641045509,"score_spread":0.2063173284869096,"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."}}