{"id":"W4394535947","doi":"10.6084/m9.figshare.21117209","title":"Additional file 1 of Immunoglobulin G N-glycan, inflammation and type 2 diabetes in East Asian and European populations: a Mendelian randomization study","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Mendelian randomization; Type 2 diabetes; East Asia; Antibody; Mendelian inheritance; Type 1 diabetes; Inflammation; Biology; Genetics; Medicine; Diabetes mellitus; Immunology; Geography; Gene; Genotype; Endocrinology; Genetic variants","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001592712,0.001204559,0.001601949,0.001293172,0.0007998645,0.001424065,0.001797458,0.001352025,0.5469071],"category_scores_gemma":[0.01907493,0.0006444308,0.001063862,0.003318606,0.0002902607,0.001232925,0.0009371544,0.001013062,0.04535473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001058472,"about_ca_system_score_gemma":0.001590784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01157614,"about_ca_topic_score_gemma":0.0163456,"domain_scores_codex":[0.9991907,0.0001782259,0.0001519819,0.0002588203,0.0001046093,0.0001156235],"domain_scores_gemma":[0.9915001,0.005781118,0.0008016806,0.0007707286,0.0008480239,0.0002981784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006483693,0.0001148645,0.009457395,0.003031475,0.0002091657,0.0001248636,0.00006465292,0.0006766415,0.0001023482,0.001028532,0.9789227,0.005619006],"study_design_scores_gemma":[0.02050769,0.0005843489,0.129257,0.00646123,0.00140649,0.001760772,0.0005926758,0.003912994,0.0009028918,0.01661946,0.817748,0.0002464129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003117762,0.00002706123,0.0001176244,0.00005098895,0.000008382228,0.00004459776,0.9991146,0.0000438271,0.0002810953],"genre_scores_gemma":[0.01195048,0.0001882355,0.002015561,0.0003938048,0.00006445005,0.001840326,0.9796143,0.0002341422,0.003698587],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5469071,"threshold_uncertainty_score":0.6462821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293565941162174,"score_gpt":0.2506018008518716,"score_spread":0.2376661414402498,"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."}}