{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02669981,0.0009413371,0.0009454992,0.0008483584,0.0006221979,0.000772649,0.0008026012,0.0007159035,0.00248264],"category_scores_gemma":[0.0649964,0.0004781455,0.001496174,0.000986509,0.0008967564,0.0006436451,0.00111338,0.0007224198,0.0001989825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003905867,"about_ca_system_score_gemma":0.001031922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00309685,"about_ca_topic_score_gemma":0.002231586,"domain_scores_codex":[0.9617035,0.03283324,0.0007313058,0.003070216,0.001165376,0.0004963049],"domain_scores_gemma":[0.9529373,0.03431367,0.006523201,0.005084333,0.000831113,0.0003104218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0151833,0.0004088597,0.8428584,0.0006392854,0.01076247,0.001636258,0.001324157,0.01442217,0.009164028,0.02371197,0.001056914,0.07883216],"study_design_scores_gemma":[0.005196155,0.007282357,0.4868254,0.000476345,0.01101684,0.005573227,0.0006609934,0.3808554,0.008368659,0.0871224,0.006397099,0.0002251619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8240078,0.000969481,0.1720184,0.0003758532,0.00005234385,0.0004404935,0.000531445,0.0002955605,0.001308639],"genre_scores_gemma":[0.9625952,0.0001681096,0.03639261,0.00007496984,0.00001890018,0.0003052572,0.0001794263,0.00002958546,0.0002359556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02669981,"threshold_uncertainty_score":0.1412038,"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."}}