{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001835968,0.000667248,0.0007413137,0.0008011757,0.0003902306,0.001170765,0.001404137,0.0009878319,0.003056748],"category_scores_gemma":[0.004535963,0.0002679936,0.001187144,0.000789849,0.0003278661,0.0006218695,0.0007719444,0.001503146,0.0007909788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000965067,"about_ca_system_score_gemma":0.001191427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0141782,"about_ca_topic_score_gemma":0.008442046,"domain_scores_codex":[0.9994441,0.0002024717,0.00002661126,0.0001825495,0.00009408043,0.00005025591],"domain_scores_gemma":[0.9987386,0.0008161464,0.0001369287,0.00008150858,0.0001840802,0.00004276146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0006545082,0.0003618525,0.100051,0.000200463,0.0009156959,0.0004507009,0.0003563589,0.7763882,0.000961675,0.01462931,0.008745043,0.09628519],"study_design_scores_gemma":[0.00004305926,0.0001282072,0.009358393,0.0000308011,0.0001077739,0.0001268864,0.00003541249,0.9810376,0.0001076381,0.00663356,0.002371229,0.00001952713],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4818308,0.002900831,0.4919557,0.003727146,0.0005848163,0.0004346052,0.00741064,0.001368137,0.009787341],"genre_scores_gemma":[0.9325182,0.001101501,0.05596844,0.0004025043,0.0003147981,0.0007149908,0.003867612,0.00006999253,0.005041991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0141782,"threshold_uncertainty_score":0.02819139,"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."}}