{"id":"W4365135323","doi":"10.1002/art.42523","title":"Prediagnostic Glycoprotein Acetyl Levels and Incident and Recurrent Flare Risk Accounting for Serum Urate Levels: A <scp>Population‐Based</scp>, Prospective Study and Mendelian Randomization Analysis","year":2023,"lang":"en","type":"article","venue":"Arthritis & Rheumatology","topic":"Gout, Hyperuricemia, Uric Acid","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health; U.S. Department of Veterans Affairs","keywords":"Mendelian randomization; Gout; Medicine; Internal medicine; Hazard ratio; Proportional hazards model; Population; Prospective cohort study; Confidence interval; Uric acid; Physiology; Endocrinology; Genotype; Biology; Genetics","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":[0.006291699,0.000801283,0.0007112022,0.0007890952,0.0005384026,0.0009076232,0.0007503969,0.001000145,0.001543013],"category_scores_gemma":[0.009524438,0.0008301408,0.001581288,0.001018962,0.0005317777,0.0004775888,0.000541254,0.0006716381,0.0002133415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003671271,"about_ca_system_score_gemma":0.0004613894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003494678,"about_ca_topic_score_gemma":0.001801377,"domain_scores_codex":[0.9964725,0.001977327,0.0002086141,0.0008291335,0.0003287536,0.0001836152],"domain_scores_gemma":[0.9957033,0.001185129,0.001336605,0.001347345,0.0002120752,0.0002154331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006513907,0.0001669438,0.9843121,0.00004416168,0.001791849,0.0002588128,0.0001534814,0.0004875033,0.001146442,0.0002001465,0.0003403403,0.004584361],"study_design_scores_gemma":[0.0009521471,0.002412459,0.9867156,0.00001830421,0.001369084,0.001424177,0.0001157391,0.005395366,0.0006453732,0.0003267878,0.0005922898,0.00003263806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977536,0.0002134844,0.001500011,0.00003120549,0.000009456809,0.00004338225,0.0003128919,0.00001664925,0.0001193444],"genre_scores_gemma":[0.9985978,0.00003670448,0.0009567969,0.00002380593,0.000008444817,0.0000351996,0.0002333296,0.000006428677,0.0001014091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006291699,"threshold_uncertainty_score":0.03327411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611391976934796,"score_gpt":0.2772372532789267,"score_spread":0.2611233335095788,"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."}}