{"id":"W3162045175","doi":"10.1002/art.41779","title":"Assessing the Causal Relationships Between Insulin Resistance and Hyperuricemia and Gout Using Bidirectional Mendelian Randomization","year":2021,"lang":"en","type":"article","venue":"Arthritis & Rheumatology","topic":"Gout, Hyperuricemia, Uric Acid","field":"Medicine","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; Canadian Institutes of Health Research; Rheumatology Research Foundation; National Institute of Diabetes and Digestive and Kidney Diseases; Medical Research Council; Doris Duke Charitable Foundation","keywords":"Mendelian randomization; Insulin resistance; Hyperuricemia; Medicine; Gout; Internal medicine; Confidence interval; Insulin; Endocrinology; Diabetes mellitus; Metabolic syndrome; Biobank; Uric acid; Bioinformatics; Genetics; Biology; Genotype; Genetic variants; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006256216,0.0001787459,0.0005005556,0.0001151974,0.0006287229,0.00009610316,0.00004748298,0.0002257916,0.00004466585],"category_scores_gemma":[0.00130789,0.0001576535,0.00004483751,0.0003915055,0.00028388,0.0002838724,0.00008108866,0.0004657589,0.000008571546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000662258,"about_ca_system_score_gemma":0.0002658787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000933979,"about_ca_topic_score_gemma":0.0001686404,"domain_scores_codex":[0.9980957,0.0004806362,0.0004965985,0.0004212301,0.0002250441,0.0002808071],"domain_scores_gemma":[0.9983119,0.000955329,0.0001692018,0.0002615233,0.0001695726,0.0001324267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001279216,0.00005465232,0.9784607,0.0001091733,0.0002498926,0.0001575464,0.001379265,0.00002037847,0.002953965,0.002417031,0.0005237763,0.0135457],"study_design_scores_gemma":[0.02595762,0.0001036325,0.9186788,0.001682986,0.0008158218,0.01989318,0.004634217,0.003314414,0.002063325,0.004452156,0.01755264,0.0008512489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759054,0.01684202,0.002312387,0.003399733,0.0002097206,0.0001884352,0.00001077648,0.00007085933,0.001060711],"genre_scores_gemma":[0.98977,0.002986816,0.006715767,0.0001465523,0.00007461099,0.00001679194,0.00006522475,0.00002996613,0.0001942585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05978195,"threshold_uncertainty_score":0.6428922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03747842745641929,"score_gpt":0.2982275813165514,"score_spread":0.2607491538601321,"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."}}