{"id":"W4296654218","doi":"10.1016/j.ejim.2022.09.005","title":"High cardiovascular disease risk-associated with the incidence of Type 2 diabetes among prediabetics","year":2022,"lang":"en","type":"article","venue":"European Journal of Internal Medicine","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Toronto; Fields Institute for Research in Mathematical Sciences; Toronto Metropolitan University","funders":"","keywords":"Medicine; Prediabetes; Hazard ratio; Internal medicine; Type 2 diabetes; Framingham Risk Score; Cohort; Diabetes mellitus; Incidence (geometry); Population; Confidence interval; Disease; Environmental health; 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":[0.005859116,0.0002414831,0.000970785,0.0002211612,0.0001516879,0.00001374793,0.0005861969,0.00001807089,0.0002152631],"category_scores_gemma":[0.002490715,0.0001366908,0.0006190048,0.0004753296,0.0005367477,0.0000927946,0.0001957576,0.001045939,0.000004234626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001166053,"about_ca_system_score_gemma":0.0001342816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003600802,"about_ca_topic_score_gemma":0.000007429431,"domain_scores_codex":[0.995175,0.001590424,0.0007677115,0.0002268968,0.001938404,0.0003015853],"domain_scores_gemma":[0.9970145,0.000249149,0.0009820024,0.0006816522,0.0007247792,0.0003478724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005211229,0.001220132,0.6227348,0.0005040556,0.04752053,0.01294172,0.0060193,0.0334264,0.0008443058,0.00003675025,0.02866442,0.2408763],"study_design_scores_gemma":[0.005859311,0.007437144,0.9605028,0.002021387,0.006429051,0.0001666043,0.0008678961,0.0003315312,0.0004819794,0.00003530288,0.01564068,0.0002262965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983402,0.01378495,0.0004464012,0.0006454276,0.0007844741,0.0002892071,0.00002050925,0.00002063483,0.0006064544],"genre_scores_gemma":[0.9978527,0.0003959598,0.00009719023,0.0003510207,0.0009823473,0.00000438619,0.000008272164,0.00006730638,0.0002408043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.337768,"threshold_uncertainty_score":0.5574089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0083628918630644,"score_gpt":0.1994552692149034,"score_spread":0.191092377351839,"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."}}