{"id":"W2014124623","doi":"10.1016/j.metabol.2014.10.032","title":"Biomarkers of vascular complications in type 2 diabetes","year":2014,"lang":"en","type":"review","venue":"Metabolism","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Intensive care medicine; Nephropathy; Type 2 diabetes; Stroke (engine); Disease; Diabetes mellitus; Intervention (counseling); Risk assessment; Compliance (psychology); Retinopathy; Bioinformatics; Internal medicine; Psychology; Computer science","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":[0.001483785,0.001574758,0.003160153,0.003353696,0.000205496,0.001812467,0.001246393,0.001369033,0.001676289],"category_scores_gemma":[0.002753089,0.0004577361,0.001463695,0.003435337,0.0005571322,0.001455396,0.001047967,0.002094967,0.0006536806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006312417,"about_ca_system_score_gemma":0.001507348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002339793,"about_ca_topic_score_gemma":0.003321994,"domain_scores_codex":[0.9993641,0.0001443561,0.0001424422,0.00009902449,0.0002055405,0.00004452126],"domain_scores_gemma":[0.9985393,0.0008036253,0.0003240689,0.00002416465,0.0002568608,0.00005205501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000220644,0.00007828939,0.001515306,0.02872839,0.0007417527,0.0001539031,0.00004053779,0.0002687042,0.0004775725,0.001082439,0.01385173,0.9528406],"study_design_scores_gemma":[0.0003882738,0.0005515853,0.01889142,0.06057882,0.007169048,0.003517851,0.0003486803,0.0007822793,0.001538991,0.007535453,0.898481,0.000216715],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006635279,0.9995135,0.00006454377,0.0001045381,0.00009478963,0.000002839043,0.00001755991,0.000002491189,0.000133431],"genre_scores_gemma":[0.0008353137,0.9984535,0.0002072558,0.0001831782,0.0001772293,0.000007089773,0.00003208539,6.739875e-7,0.0001035988],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003353696,"threshold_uncertainty_score":0.007847071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03371838990282213,"score_gpt":0.3155968054536668,"score_spread":0.2818784155508447,"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."}}