{"id":"W2999396735","doi":"10.7326/m19-2610","title":"Assessing the Risk for Gout With Sodium–Glucose Cotransporter-2 Inhibitors in Patients With Type 2 Diabetes","year":2020,"lang":"en","type":"article","venue":"Annals of Internal Medicine","topic":"Gout, Hyperuricemia, Uric Acid","field":"Medicine","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; University of Toronto","funders":"National Institute on Aging","keywords":"Medicine; Gout; Internal medicine; Hazard ratio; Diabetes mellitus; Hyperuricemia; Type 2 diabetes; Liraglutide; Proportional hazards model; Type 2 Diabetes Mellitus; Endocrinology; Uric acid; Confidence interval","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":[0.002236062,0.0003607059,0.0006110581,0.0009882409,0.0004360837,0.0008415246,0.0004661119,0.0007072072,0.001036621],"category_scores_gemma":[0.006081786,0.0003348083,0.001757267,0.001437182,0.0002391112,0.0006071317,0.0005344658,0.001087438,0.0001497814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000375367,"about_ca_system_score_gemma":0.0004049545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003057751,"about_ca_topic_score_gemma":0.004564857,"domain_scores_codex":[0.9987,0.0004571559,0.0001852943,0.0002473713,0.0002903123,0.0001199171],"domain_scores_gemma":[0.9960913,0.0009881723,0.002119226,0.0001989529,0.0002721621,0.0003301293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001500266,0.00001945987,0.9988776,0.000009278167,0.0001076899,0.00002174067,0.000009368951,0.0000483843,0.00001579173,0.000007030846,0.00004119717,0.0006923665],"study_design_scores_gemma":[0.00004376795,0.0002434134,0.9973314,0.00002254928,0.000339619,0.0003011972,0.00007345356,0.0012562,0.00006300493,0.00006502954,0.0002522893,0.000008045809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970254,0.001425449,0.0003013999,0.0001211566,0.00002343631,0.00002715974,0.0004441366,0.000005758764,0.0006259574],"genre_scores_gemma":[0.9988382,0.0003172551,0.0002698113,0.0000585757,0.00003154743,0.00001514861,0.0003660973,0.000001774002,0.0001015692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003057751,"threshold_uncertainty_score":0.01182562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03138131388125584,"score_gpt":0.30563933937432,"score_spread":0.2742580254930642,"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."}}