{"id":"W3165027823","doi":"10.1136/annrheumdis-2021-eular.1296","title":"OP0202 DOES EXCESS WEIGHT AFFECT GOUT RISK DIFFERENTLY AMONG GENETICALLY PREDISPOSED INDIVIDUALS? – SEX-SPECIFIC PROSPECTIVE COHORT FINDINGS OVER &gt;26 YEARS","year":2021,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Gout, Hyperuricemia, Uric Acid","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Canada","funders":"National Institutes of Health; Rheumatology Research Foundation","keywords":"Medicine; Overweight; Gout; Genome-wide association study; Obesity; Prospective cohort study; Internal medicine; Genetic predisposition; Population; Relative risk; Risk factor; Single-nucleotide polymorphism; Cohort; Cohort study; Demography; Environmental health; Disease; Confidence interval; Genetics; Genotype","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":[0.0005951758,0.0005260768,0.0003575512,0.0005733471,0.0005662625,0.001041426,0.0005230461,0.0009998935,0.003691581],"category_scores_gemma":[0.00103332,0.0005629366,0.001463857,0.001211237,0.0003146947,0.0006674267,0.0005171714,0.0009873403,0.0007393833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001907275,"about_ca_system_score_gemma":0.0002661866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01008635,"about_ca_topic_score_gemma":0.00790568,"domain_scores_codex":[0.9995924,0.00009190636,0.00003032797,0.0001364239,0.00003723352,0.0001117291],"domain_scores_gemma":[0.9993089,0.00006263207,0.0002533224,0.0001709002,0.00007342507,0.0001308604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001121942,0.00006231529,0.993867,0.00001722965,0.0006650198,0.0002828783,0.0001216891,0.00004894422,0.001239416,0.00007893438,0.0002842027,0.002210452],"study_design_scores_gemma":[0.00002036942,0.0001271404,0.9988453,0.000005665814,0.0001674912,0.0001496036,0.00008319773,0.0000459006,0.00006641963,0.0000495758,0.0004345036,0.000004696561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955807,0.0008360032,0.000267588,0.0001745739,0.00006871035,0.00001299192,0.001571136,0.00001181744,0.001476393],"genre_scores_gemma":[0.9970878,0.0002374158,0.00008952765,0.0001010149,0.00004198134,0.00001163556,0.001022407,0.00001207842,0.001396146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01008635,"threshold_uncertainty_score":0.02005529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261541215171564,"score_gpt":0.2621648722353063,"score_spread":0.2495494600835906,"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."}}