{"id":"W3215913585","doi":"10.1136/annrheumdis-2021-221635","title":"Impact of adiposity on risk of female gout among those genetically predisposed: sex-specific prospective cohort study findings over >32 years","year":2021,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Gout, Hyperuricemia, Uric Acid","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Canada","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; Canadian Institutes of Health Research; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Rheumatology Research Foundation","keywords":"Medicine; Gout; Body mass index; Internal medicine; Prospective cohort study; Genetic predisposition; Cohort study; Relative risk; Single-nucleotide polymorphism; Obesity; Risk factor; Cohort; Demography; Genotype; Genetics; Confidence interval; Disease; Gene; Biology","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":[0.0004577435,0.0004956222,0.000366559,0.000555405,0.0005427532,0.0008187949,0.0002991779,0.0007223213,0.002454271],"category_scores_gemma":[0.0008825614,0.0005795388,0.001092503,0.0007158967,0.0002492477,0.0004948326,0.0004612795,0.0009928539,0.000275271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043948,"about_ca_system_score_gemma":0.0002674741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01317279,"about_ca_topic_score_gemma":0.01315145,"domain_scores_codex":[0.9996818,0.00006900629,0.00001965035,0.0001018817,0.00003160721,0.00009604194],"domain_scores_gemma":[0.9994258,0.00006167473,0.000179298,0.0001065449,0.00005618098,0.0001704912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004605521,0.00004769064,0.9974663,0.000005880576,0.0002185928,0.0001435907,0.00007647007,0.00003433181,0.0005444994,0.00003203536,0.00007688864,0.0008930316],"study_design_scores_gemma":[0.000005470672,0.00006125234,0.999507,0.000002568556,0.00007347059,0.00009575071,0.00007849634,0.00004824756,0.00002480066,0.00001343175,0.00008701598,0.000002492575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983321,0.0004632189,0.00006749089,0.00005921502,0.00001615748,0.000003890327,0.0004004421,0.00000449942,0.0006529944],"genre_scores_gemma":[0.9992296,0.0001458034,0.00003193817,0.0000230463,0.00001206664,0.00000309975,0.0001628587,0.000002926556,0.0003887978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01317279,"threshold_uncertainty_score":0.02619225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238211637896925,"score_gpt":0.311003436348386,"score_spread":0.2886213199694167,"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."}}