{"id":"W1995712561","doi":"10.1177/1741826710394270","title":"Contemporary model for cardiovascular risk prediction in people with type 2 diabetes","year":2011,"lang":"en","type":"article","venue":"European Journal of Cardiovascular Prevention & Rehabilitation","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":188,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Diabetes mellitus; Type 2 diabetes; Cohort; Internal medicine; Disease; Proportional hazards model; Statistic; Atrial fibrillation; Cardiology; Statistics; Endocrinology; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01081691,0.0003086091,0.001284515,0.0005179144,0.00009884974,0.00003223731,0.0001824066,0.00009070014,0.00001534182],"category_scores_gemma":[0.000956271,0.0002630006,0.004688171,0.0005234853,0.0001142903,0.0005936587,0.00003388397,0.0004086478,0.00001301533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001656051,"about_ca_system_score_gemma":0.0002859738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001118541,"about_ca_topic_score_gemma":0.00001657899,"domain_scores_codex":[0.9951927,0.001845047,0.001111559,0.0004639104,0.001057077,0.0003296934],"domain_scores_gemma":[0.9971349,0.0001068612,0.000466133,0.0009130031,0.0011777,0.0002014384],"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":[0.003481031,0.001359159,0.05712163,0.00158203,0.0423016,0.0001646964,0.008491627,0.1274601,0.0001179187,0.00003972513,0.001384069,0.7564964],"study_design_scores_gemma":[0.03144014,0.01685613,0.889325,0.00236475,0.01529429,0.0002434118,0.001805635,0.01336187,0.0006334519,0.001211021,0.0265242,0.0009400715],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7486778,0.02463183,0.2225303,0.00002641093,0.0003666778,0.001889162,0.00001735798,0.00006173428,0.001798727],"genre_scores_gemma":[0.9622222,0.0003990524,0.03671703,0.00001762782,0.0003389896,0.00005655816,0.00004167359,0.0001078807,0.00009895891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8322034,"threshold_uncertainty_score":0.9999822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706729017541028,"score_gpt":0.222394993290193,"score_spread":0.1953277031147827,"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."}}