{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002592432,0.0002424863,0.001876393,0.0004264256,0.00001363757,0.00000723654,0.0001439332,0.0001178225,0.00007174675],"category_scores_gemma":[0.00005581147,0.0001793108,0.0004260259,0.0005425846,0.00005122767,0.00002194675,0.0000641836,0.0001027745,0.0001565173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003416245,"about_ca_system_score_gemma":0.00005700524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001201279,"about_ca_topic_score_gemma":0.000001818362,"domain_scores_codex":[0.9988104,0.00008905747,0.0004642579,0.0002602935,0.0001670772,0.0002089656],"domain_scores_gemma":[0.9990276,0.00006758388,0.0001927347,0.0005976608,0.00005004828,0.00006442665],"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":[0.000001091179,0.0001597496,0.0001148311,0.01014993,0.001176541,0.000001228702,0.000009576382,1.064404e-7,0.000001108183,0.001289511,0.00118228,0.9859141],"study_design_scores_gemma":[0.0004024434,0.00002669316,0.00202038,0.003787059,0.004261937,2.56149e-7,0.000001897929,0.000004433847,0.000002039131,0.00004878777,0.9893155,0.0001286337],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001103099,0.9927317,0.000005210938,0.00003617759,0.0002274282,0.0009580287,0.00001060672,0.00002733206,0.005893201],"genre_scores_gemma":[0.00004926213,0.9983312,0.0006121208,0.00006156363,0.0000651817,0.0001435912,0.0003360585,0.00003699156,0.0003640459],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9881331,"threshold_uncertainty_score":0.7312083,"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."}}