{"id":"W2625453599","doi":"10.1161/circulationaha.117.027252","title":"Secondary Prevention of Cardiovascular Disease in Patients With Type 2 Diabetes Mellitus","year":2017,"lang":"en","type":"article","venue":"Circulation","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian VIGOUR Centre; University of Toronto; University of Alberta; St. Michael's Hospital","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Diabetes mellitus; Disease; Type 2 Diabetes Mellitus; Secondary prevention; Internal medicine; Risk factor; Intensive care medicine; 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":[0.0003001053,0.00007377034,0.000257973,0.00006083138,0.00006811837,0.00001251303,0.00004812744,0.00004397485,0.00002038593],"category_scores_gemma":[0.0000719505,0.00006227196,0.0001743805,0.00006407842,0.00003701182,0.0001544835,0.00001577662,0.00007303996,0.000004308073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005269425,"about_ca_system_score_gemma":0.0001220136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009521889,"about_ca_topic_score_gemma":0.00000377343,"domain_scores_codex":[0.9991239,0.00004352708,0.0001584303,0.0001786428,0.0003778411,0.0001176174],"domain_scores_gemma":[0.9988312,0.00000376762,0.00009642808,0.0008415058,0.0001488507,0.00007831864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009409287,0.00009724463,0.9078828,0.0002614578,0.0003189615,0.000002928394,0.00002717871,0.0005019317,0.00001516401,0.0000266739,0.000002613037,0.09076895],"study_design_scores_gemma":[0.00222542,0.00008134284,0.9961775,0.0001948348,0.0003276172,1.85794e-7,0.000003332184,0.0002418289,0.00009364334,0.0001255242,0.0004615682,0.00006721409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956678,0.003018987,0.0001890323,0.00002122326,0.00008431295,0.0006291018,0.000003335633,0.00001086526,0.0003753194],"genre_scores_gemma":[0.9996301,0.0000621041,0.0001029708,0.000009931372,0.00006692761,0.00001310939,0.00009315724,0.00001313643,0.000008557971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09070174,"threshold_uncertainty_score":0.2539377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263378787524192,"score_gpt":0.2375096369002998,"score_spread":0.2248758490250579,"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."}}