{"id":"W4399483326","doi":"10.1136/annrheumdis-2024-eular.1319","title":"AB0102 DIFFERENTIAL EXPRESSION OF ORTHOLOGUE GENES INVOLVED IN GLYCINE AND PYRUVATE METABOLISM CHARACTERIZE THE GUT MICROBIOME META-TRANSCRIPTOME OF SUBJECTS WITH ASYMPTOMATIC HYPERURICEMIA AND GOUT","year":2024,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Hyperuricemia; Transcriptome; Gut microbiome; Biology; Gout; Asymptomatic; Gene; Microbiome; Bioinformatics; Gene expression; Computational biology; Genetics; Medicine; Uric acid; Endocrinology; Internal medicine; Biochemistry","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":[0.0001043153,0.0002199852,0.0003779709,0.0003347397,0.0003043747,0.0004675493,0.00008930496,0.000281634,0.003464602],"category_scores_gemma":[0.0002246581,0.0001252111,0.0002758858,0.000472346,0.0001304262,0.0001264394,0.0002891162,0.0002738441,0.0004496021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001081137,"about_ca_system_score_gemma":0.0001483451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00196573,"about_ca_topic_score_gemma":0.002356102,"domain_scores_codex":[0.9998821,0.0000157678,0.000004926691,0.00004325673,0.00002088165,0.00003311467],"domain_scores_gemma":[0.9999077,0.000024488,0.00002058127,0.000006062979,0.0000158343,0.00002524363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003689201,0.00009968851,0.27081,0.0003716173,0.0003626932,0.0005013799,0.0005339627,0.0003839995,0.7027845,0.0002280864,0.001747258,0.01848758],"study_design_scores_gemma":[0.00002795949,0.0002118054,0.9859001,0.00003055959,0.0001358808,0.0006844226,0.0005831971,0.0008743244,0.008920039,0.0002475885,0.002370782,0.00001330738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928482,0.0009884398,0.0003777326,0.00008312954,0.00002503213,0.000007545971,0.004845472,0.00002470202,0.0007998437],"genre_scores_gemma":[0.9913179,0.0003595684,0.0006251706,0.000162487,0.00003022374,0.00002188407,0.005538367,0.00002124,0.001923135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003464602,"threshold_uncertainty_score":0.0115903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953525729802681,"score_gpt":0.2487062236955526,"score_spread":0.2291709663975258,"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."}}