{"id":"W2530666636","doi":"10.3899/jrheum.160797","title":"Risk of Diabetes Mellitus among Patients Diagnosed with Giant Cell Arteritis or Granulomatosis with Polyangiitis: Comparison with the General Population","year":2016,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Granulomatosis with polyangiitis; Giant cell arteritis; Diabetes mellitus; Vasculitis; Population; Microscopic polyangiitis; Arteritis; Dermatology; Internal medicine; Disease; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005100651,0.0002379554,0.0003983148,0.0007821054,0.0002846536,0.0006273848,0.0002423458,0.0004367628,0.0009628086],"category_scores_gemma":[0.001549231,0.0003120486,0.000640566,0.001143325,0.0001919337,0.0002623987,0.0003363076,0.0004442465,0.0001301425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002890688,"about_ca_system_score_gemma":0.0002360888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007788794,"about_ca_topic_score_gemma":0.004976999,"domain_scores_codex":[0.9994086,0.0001099431,0.00007465881,0.000226227,0.00009298787,0.00008747158],"domain_scores_gemma":[0.9991881,0.0001008247,0.0004792298,0.00006016924,0.00004832914,0.0001233058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001485207,0.00001914966,0.9987778,0.000008651818,0.0001322986,0.00006697531,0.00002055104,0.00004140685,0.00008902903,0.00001056755,0.00004948808,0.0006355417],"study_design_scores_gemma":[0.00001344882,0.00006924313,0.9992022,0.000006060706,0.0000712679,0.0002578181,0.00006708517,0.0001662824,0.00002080692,0.00001175817,0.0001111756,0.000002916777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982986,0.0008262923,0.00005681079,0.00003491747,0.0000134935,0.000004730304,0.0004362285,0.000003001662,0.0003259059],"genre_scores_gemma":[0.9992267,0.0002957633,0.00003826544,0.00002080041,0.00001155709,0.000004025059,0.0003315758,8.286351e-7,0.00007053424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007788794,"threshold_uncertainty_score":0.01548696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005088378716013149,"score_gpt":0.2105853299737015,"score_spread":0.2054969512576884,"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."}}