{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005447892,0.0001588516,0.0004584789,0.0001855377,0.00004566057,0.00002849073,0.00004891382,0.000108652,0.00007838799],"category_scores_gemma":[0.00006618629,0.0001511645,0.0002945063,0.0002767456,0.0000295281,0.0001157317,0.00003541308,0.0001901688,0.0001675134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008415515,"about_ca_system_score_gemma":0.00001520456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009312364,"about_ca_topic_score_gemma":0.00003713249,"domain_scores_codex":[0.9986073,0.0001394944,0.0002174347,0.000397082,0.0003820585,0.0002566227],"domain_scores_gemma":[0.9991425,0.00003106191,0.00006759606,0.0006117376,0.00005863334,0.00008847173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001290677,0.0000221282,0.4856528,0.0001180308,0.0008939004,0.00000582421,0.0001067792,0.0007452028,0.00002228589,0.00001925548,0.000006788731,0.5123941],"study_design_scores_gemma":[0.001707762,0.00004370573,0.9819588,0.00007468618,0.00075668,0.000002003949,0.00006037776,0.001620853,0.00018346,0.0002377663,0.01318252,0.0001713652],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711238,0.02566159,0.000316385,0.00001013303,0.0002724817,0.001025415,0.000009973774,0.00005868435,0.001521532],"genre_scores_gemma":[0.9933321,0.006040344,0.0003564012,0.00002342542,0.0001155801,0.0000223469,0.00003245188,0.00002973987,0.00004762811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5122227,"threshold_uncertainty_score":0.6164309,"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."}}