{"id":"W1997287686","doi":"10.1111/j.1463-1326.2004.00319.x","title":"Lack of concordance between plasma markers of cardiovascular risk and intima‐media thickness in patients with type 2 diabetes","year":2003,"lang":"en","type":"article","venue":"Diabetes Obesity and Metabolism","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Notre-Dame","funders":"Servier","keywords":"Medicine; Internal medicine; Diabetes mellitus; Intima-media thickness; Type 2 diabetes; Endothelial dysfunction; Waist; C-reactive protein; Atenolol; Endocrinology; Cardiology; Gastroenterology; Inflammation; Body mass index; Carotid arteries; Blood pressure","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":[0.001057385,0.0003134162,0.0005194304,0.0007580941,0.0004227607,0.0007999921,0.0003601713,0.000739122,0.001743316],"category_scores_gemma":[0.004932354,0.0003369642,0.0002515395,0.0007275534,0.0005109899,0.0003526581,0.0004010853,0.0006245423,0.0003367967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001935342,"about_ca_system_score_gemma":0.0002090237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001188217,"about_ca_topic_score_gemma":0.00116294,"domain_scores_codex":[0.9990714,0.0002692398,0.0001248003,0.000261785,0.0001883196,0.00008443261],"domain_scores_gemma":[0.9955565,0.001818284,0.001330562,0.0003464238,0.0004528619,0.0004954149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000193599,0.0000197841,0.9982082,0.000009068782,0.00004289122,0.0001036172,0.00006673302,0.00002559904,0.0003953229,0.00001194128,0.00003205671,0.0008911464],"study_design_scores_gemma":[0.00001321573,0.0001151928,0.9987494,0.000005529444,0.00003544659,0.000665186,0.0000898029,0.0001311162,0.00008670541,0.00003074301,0.00007413967,0.000003497295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999007,0.0002937446,0.0001126502,0.00003160999,0.00001193252,0.000003204278,0.00007350726,0.000005232434,0.0004610655],"genre_scores_gemma":[0.9996692,0.00005360823,0.00006222828,0.00002509545,0.00001672291,0.000003715049,0.00009163396,0.000001581832,0.00007628703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001743316,"threshold_uncertainty_score":0.005831957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009153233178156387,"score_gpt":0.2219459113238609,"score_spread":0.2127926781457045,"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."}}